Relevant bibliographies by topics / Computer Optimization of Parameters

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computer Optimization of Parameters'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Computer Optimization of Parameters.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Computer Optimization of Parameters"

1

Macnee, Alan B. "Computer-Aided Optimization of Transistor Model Parameters." IEEE Transactions on Education 28, no. 1 (February 1985): 4–11. http://dx.doi.org/10.1109/te.1985.4321723.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhang HaiGuang, Hu QingXi, and Liu YuanYuan. "Computer Simulation and Parameters Optimization of Vacuum Casting." International Journal of Advancements in Computing Technology 5, no. 3 (February 15, 2013): 525–32. http://dx.doi.org/10.4156/ijact.vol5.issue3.61.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Aly, Nael A. "Optimization of testability parameters." Computers & Industrial Engineering 17, no. 1-4 (January 1989): 333–39. http://dx.doi.org/10.1016/0360-8352(89)90084-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Iljins, U., I. Ziemelis, H. Putāns, A. Šķēle, and J. Navickas. "Optimization of the Parameters of Solar Water Heating System." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 26, 2006): 353. http://dx.doi.org/10.17770/etr2003vol1.1994.

Full text
Abstract:
In order to investigate the possibility to increase the efficiency of a flat-plate solar collector the mathematical model of the collector has been worked out. By solving the Laplace heat transfer equation at the boundary conditions accordingly to the construction of the collector, the obtained solution gives possibility to simulate on a computer the construction of the collector in dependence on physical, thermal and economic values of materials used for the construction. The computed results by theoretical formulas with experimental results obtained on special laboratory equipment have been compared and good concurrence acquired.
APA, Harvard, Vancouver, ISO, and other styles
5

Macnee, Alan B. "Correction to "Computer-Aided Optimization of Transistor Model Parameters''." IEEE Transactions on Education E-29, no. 1 (February 1986): 47. http://dx.doi.org/10.1109/te.1986.5570691.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhao, Yu Xia, Hong Hai Xu, and De Wen Gao. "Study on Computer-Aided Optimizing Milling Parameters of Numerical Control Machine." Key Engineering Materials 419-420 (October 2009): 833–36. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.833.

Full text
Abstract:
In this paper, the modern theory of milling and the optimization technique are applied to the establishment of the mathematical model of face milling to obtain the optimum face milling parameters, in which the highest productivity is the optimizing objective，and many constraints are taking into consideration．The optimization is programmed based on the complex form method and castigatory function method．And a optimization system is established, the system which is composed of optimizing calculation module, special milling parameters database and man-machine interface．And it is programmed by adopting Visual Basic．The NC milling example is optimized，the validity and practicability of optimizing mathematic model is proved，and the base of the optimization of the NC machining process is established．
APA, Harvard, Vancouver, ISO, and other styles
7

Jeang, Angus. "Robust cutting parameters optimization for production time via computer experiment." Applied Mathematical Modelling 35, no. 3 (March 2011): 1354–62. http://dx.doi.org/10.1016/j.apm.2010.09.014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mallick, Zulquernain, Irfan Anjum Badruddin Magami, and Khaleed Hussain Tandur. "Operational characteristics optimization of human-computer system." IIUM Engineering Journal 8, no. 1 (September 29, 2010): 35–47. http://dx.doi.org/10.31436/iiumej.v8i1.86.

Full text
Abstract:
Computer operational parameters are having vital influence on the operators efficiency from readability viewpoint. Four parameters namely font, text/background color, viewing angle and viewing distance are analyzed. The text reading task, in the form of English text, was presented on the computer screen to the participating subjects and their performance, measured in terms of number of words read per minute (NWRPM), was recorded. For the purpose of optimization, the Taguchi method is used to find the optimal parameters to maximize operators’ efficiency for performing readability task. Two levels of each parameter have been considered in this study. An orthogonal array, the signal-to-noise (S/N) ratio and the analysis of variance (ANOVA) were employed to investigate the operators’ performance/efficiency. Results showed that Times Roman font, black text on white background, 40 degree viewing angle and 60 cm viewing distance, the subjects were quite comfortable, efficient and read maximum number of words per minute. Text/background color was dominant parameter with a percentage contribution of 76.18% towards the laid down objective followed by font type at 18.17%, viewing distance 7.04% and viewing angle 0.58%. Experimental results are provided to confirm the effectiveness of this approach.
APA, Harvard, Vancouver, ISO, and other styles
9

Di Pierro, Michele, and Ron Elber. "Automated Optimization of Potential Parameters." Journal of Chemical Theory and Computation 9, no. 8 (July 5, 2013): 3311–20. http://dx.doi.org/10.1021/ct400313n.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Fonseca, Ijar M., and Peter M. Bainum. "Integrated Structural and Control Optimization." Journal of Vibration and Control 10, no. 10 (October 2004): 1377–91. http://dx.doi.org/10.1177/1077546304042043.

Full text
Abstract:
This paper focuses on the integrated structural/control optimization of a large space structure with a robot arm subject to the gravity-gradient torque through a semi-analytical approach. It is well known that the computer effort to compute numerically derivatives of the constraints with respect to design variables makes the process expensive and time-consuming. In this sense, a semi-analytical approach may represent a good alternative when optimizing systems that require sensitivity calculations with respect to design parameters. In this study, constraints from the structure and control disciplines are imposed on the optimization process with the aim of obtaining the structure’s minimum weight and the optimum control performance. In the process optimization, the sensitivity of the constraints is computed by a semi-analytical approach. This approach combines the use of analytical derivatives of the mass and stiffness matrices with the numerical solution of the eigenvalue problem to obtain the eigenvalue derivative with respect to the design variables. The analytical derivatives are easy to obtain since our space structure is a long one-dimensional beam-like spacecraft.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Computer Optimization of Parameters"

1

Naber, John F. "The optimization of SPICE modeling parameters utilizing the Taguchi methodology." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38542.

Full text
Abstract:
A new optimization technique for SPICE modeling parameters has been developed in this dissertation to increase the accuracy of the circuit simulation. The importance of having accurate circuit simulation models is to prevent the very costly redesign of an Integrated Circuit (IC). This radically new optimization technique utilizes the Taguchi method to improve the fit between measured and simulated I-V curves for GaAs MESFETs. The Taguchi method consists of developing a Signal-to-Noise Ratio (SNR) equation that will find the optimum combination of controllable signal levels in a design or process to make it robust or as insensitive to noise as possible. In this dissertation, the control factors are considered the circuit model curve fitting parameters and the noise is considered the variation in the simulated I-V curves from the measured I-V curves. This is the first known application of the Taguchi method to the optimization of IC curve fitting model parameters. In addition, this method is not technology or device dependent and can be applied to silicon devices as well. Improvements in the accuracy of the simulated I-V curve fit reaching 80% has been achieved between DC test extracted parameters and the Taguchi optimized parameters. Moreover, the computer CPU execution time of the optimization process is 96% less than a commercial optimizer utilizing the Levenberg-Marquardt algorithm (optimizing 31 FETs). This technique does a least square fit on the data comparing measured currents versus simulated currents for various combinations of SPICE parameters. The mean and standard deviation of this least squares fit is incorporated in determining the SNR, providing the best combination of parameters within the evaluated range. Furthermore, the optimum values of the parameters are found without additional simulation by fitting the response curves to a quadratic equation and finding the local maximum. This technique can easily be implemented with any simulator that utilizes simulation modeling parameters extracted from measured DC test data. In addition, two methods are evaluated to obtain the worst case modeling parameters. One method lobks at the correlation coefficients between modeling parameters and the second looks at the actual device parameters that define the +/- 30 limits of the process. Lastly, an example is given that describes the applicability of the Taguchi methodology in the design of a differential amplifier, that accounts for the effect of offset voltage.
Ph. D.
APA, Harvard, Vancouver, ISO, and other styles
2

Pethe, Shirish A. "Optimization of process parameters for reduced thickness CIGSeS thin film solar cells." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4623.

Full text
Abstract:
With the advent of the 21st century, one of the serious problems facing mankind is harmful effects of global warming. Add to that the ever increasing cost of fuel and the importance of development of clean energy resources as alternative to fossil fuel has becomes one of the prime and pressing challenges for modern science and technology in the 21st century. Recent studies have shown that energy related sources account for 50% of the total emission of carbon dioxide in the atmosphere. All research activities are focused on developing various technologies that are capable of converting sunlight into electricity with high efficiency and can be produced using a cost-effective process. One of such technologies is the CuIn[sub1-x]Ga[subx]Se[sub2] (CIGS) and its alloys that can be produced using cost-effective techniques and also exhibit high photo-conversion efficiency. The work presented here discusses some of the fundamental issues related to high volume production of CIGS thin film solar cells. Three principal issues that have been addressed in this work are effect of reduction in absorber thickness on device performance, micrononuniformity involved with amount of sodium and its effect on device performance and lastly the effect of working distance on the properties of molybdenum back contact. An effort has been made to understand the effect of absorber thickness on PV parameters and optimize the process parameters accordingly. Very thin (<1 [micro]m) absorber film were prepared by selenization using metallorganic selenium source in a conventional furnace and by RTP using Se vapor. Sulfurization was carried out using H2S gas. Devices with efficiencies reaching 9% were prepared for very thin (<1 [micro]m) CIGS and CIGSeS thin films. It was shown through this work that the absorber thickness reduction of 64% results in the efficiency drop of only 32%. With further optimization of the reaction process of the absorber layer as well as the other layers higher efficiencies can be achieved. The effect of sodium on the device performance is experimentally verified in this work. To the best of our knowledge the detrimental effect of excess sodium has been verified by experimental data and effort has been made to correlate the variation in PV parameter to theoretical models of effect of sodium. It has been a regular practice to deposit thin barrier layer prior to molybdenum deposition to reduce the micrononuniformities caused due to nonuniform out diffusion of sodium from the soda lime glass. However, it was proven in this work that an optimally thick barrier layer is necessary to reduce the out diffusion of sodium to negligible quantities and thus reduce the micrononuniformities. Molybdenum back contact deposition is a bottleneck in high volume manufacturing due to the current state of art where multi layer molybdenum film needs to be deposited to achieve the required properties. In order to understand and solve this problem experiments were carried out. The effect of working distance (distance between the target and the substrate) on film properties was studied and is presented in this work. During the course of this work efforts were taken to carry out a systematic and detailed study of some of the fundamental issues related to CIGS technology and particular for high volume manufacturing of CIGS PV modules and lay a good foundation for further improvement of PV performance of CIGS thin film solar cells prepared by the two step process of selenization and sulfurization of sputtered metallic precursors.
ID: 030423396; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2010.; Includes bibliographical references (p. 108-116).
Ph.D.
Doctorate
Department of Electrical Engineering and Computer Science
Engineering and Computer Science
APA, Harvard, Vancouver, ISO, and other styles
3

Panis, Renato P. "Robust parameter optimization strategies in computer simulation experiments." Diss., This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06062008-164719/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Lavesson, Niklas. "Evaluation of classifier performance and the impact of learning algorithm parameters." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4578.

Full text
Abstract:
Much research has been done in the fields of classifier performance evaluation and optimization. This work summarizes this research and tries to answer the question if algorithm parameter tuning has more impact on performance than the choice of algorithm. An alternative way of evaluation; a measure function is also demonstrated. This type of evaluation is compared with one of the most accepted methods; the cross-validation test. Experiments, described in this work, show that parameter tuning often has more impact on performance than the actual choice of algorithm and that the measure function could be a complement or an alternative to the standard cross-validation tests.
APA, Harvard, Vancouver, ISO, and other styles
5

Argyn, Aidar. "Material And Heat Balance Calculations Of Eti-bakir Plant By Computer." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12609734/index.pdf.

Full text
Abstract:
In this study the data taken from Outokumpu type Flash smelter of Eti-Bakir Plant (Samsun, Turkey) was used to write a computer program in Visual Basic with interface to Excel. Flash smelting is the pyrometallurgical process for smelting metal sulfide concentrates, used in Eti-Bakir plant. In this plant, copper flash smelting consists of blowing fine, dried copper sulfide concentrate mixtures, silica flux, lignite with air into the furnace and natural gas as main fuel. The molten matte is the principal product of the furnace and slag contains 0.5-2% Cu. It is sent to a slag treatment (flotation) process for Cu recovery. This flash furnace off-gas contains from 8-12 volume % SO2 which is fixed as H2SO4. Written program was used to optimize the consumption of oxygen enriched air, fuel and lignite in this Flash Smelter by making material and heat balance of the plant.
APA, Harvard, Vancouver, ISO, and other styles
6

Kaul, Ashwani. "Optimization of Process Parameters for Faster Deposition of CuIn1-xGaxS2 and CuIn1-xGaxSe2-ySy Thin Film Solar Cells." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5336.

Full text
Abstract:
Thin film solar cells have the potential to be an important contributor to the world energy demand in the 21st century. Among all the thin film technologies, CuInGaSe2 (CIGS) thin film solar cells have achieved the highest efficiency. However, the high price of photovoltaic (PV) modules has been a major factor impeding their growth for terrestrial applications. Reduction in cost of PV modules can be realized by several ways including choosing scalable processes amenable to large area deposition, reduction in the materials consumption of active layers, and attaining faster deposition rates suitable for in-line processing. Selenization-sulfurization of sputtered metallic Cu-In-Ga precursors is known to be more amenable to large area deposition. Sputter-deposited molybdenum thin film is commonly employed as a back contact layer for CIGS solar cells. However, there are several difficulties in fabricating an optimum back contact layer. It is known that molybdenum thin films deposited at higher sputtering power and lower gas pressure exhibit better electrical conductivity. However, such films exhibit poor adhesion to the soda-lime glass substrate. On the other hand, films deposited at lower discharge power and higher pressure although exhibit excellent adhesion show lower electrical conductivity. Therefore, a multilayer structure is normally used so as to get best from the two deposition regimes. A multi-pass processing is not desirable in high volume production because it prolongs total production time and correspondingly increases the manufacturing cost. In order to make manufacturing compliant with an in-line deposition, it is justifiable having fewer deposition sequences. Thorough analysis of pressure and power relationship of film properties deposited at various parameters has been carried out. It has been shown that it is possible to achieve a molybdenum back contact of desired properties in a single deposition pass by choosing the optimum deposition parameters. It is also shown that the film deposited in a single pass is actually a composite structure. CIGS solar cells have successfully been completed on the developed single layer back contact with National Renewable Energy Laboratory (NREL) certified device efficiencies >11%. The optimization of parameters has been carried out in such a way that the deposition of back contact and metallic precursors can be carried out in identical pressure conditions which is essential for in-line deposition without a need for load-lock. It is know that the presence of sodium plays a very critical role during the growth of CIGS absorber layer and is beneficial for the optimum device performance. The effect of sodium location during the growth of the absorber layer has been studied so as to optimize its quantity and location in order to get devices with improved performance. NREL certified devices with efficiencies >12% have been successfully completed.
Ph.D.
Doctorate
Materials Science Engineering
Engineering and Computer Science
Materials Science and Engineering
APA, Harvard, Vancouver, ISO, and other styles
7

Lee, Sang Heon. "Efficient design and optimization of robust parameter experiments." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/24328.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Chen, Zhaozhong. "Visual-Inertial SLAM Extrinsic Parameter Calibration Based on Bayesian Optimization." Thesis, University of Colorado at Boulder, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10789260.

Full text
Abstract:

VI-SLAM (Visual-Inertial Simultaneous Localization and Mapping) is a popular way for robotics navigation and tracking. With the help of sensor fusion from IMU and camera, VI-SLAM can give a more accurate solution for navigation. One important problem needs to be solved in VI-SLAM is that we need to know accurate relative position between camera and IMU, we call it the extrinsic parameter. However, our measurement of the rotation and translation between IMU and camera is noisy. If the measurement is slightly o?, the result of SLAM system will be much more away from the ground truth after a long run. Optimization is necessary. This paper uses a global optimization method called Bayesian Optimization to optimize the relative pose between IMU and camera based on the sliding window residual output from VISLAM. The advantage of using Bayesian Optimization is that we can get an accurate pose estimation between IMU and camera from a large searching range. Whats more, thanks to the Gaussian Process or T process of Bayesian Optimization, we can get a result with a known uncertainty, which cannot be done by many optimization solutions.

APA, Harvard, Vancouver, ISO, and other styles
9

Lakkimsetti, Praveen Kumar. "A framework for automatic optimization of MapReduce programs based on job parameter configurations." Kansas State University, 2011. http://hdl.handle.net/2097/12011.

Full text
Abstract:
Master of Science
Department of Computing and Information Sciences
Mitchell L. Neilsen
Recently, cost-effective and timely processing of large datasets has been playing an important role in the success of many enterprises and the scientific computing community. Two promising trends ensure that applications will be able to deal with ever increasing data volumes: first, the emergence of cloud computing, which provides transparent access to a large number of processing, storage and networking resources; and second, the development of the MapReduce programming model, which provides a high-level abstraction for data-intensive computing. MapReduce has been widely used for large-scale data analysis in the Cloud [5]. The system is well recognized for its elastic scalability and fine-grained fault tolerance. However, even to run a single program in a MapReduce framework, a number of tuning parameters have to be set by users or system administrators to increase the efficiency of the program. Users often run into performance problems because they are unaware of how to set these parameters, or because they don't even know that these parameters exist. With MapReduce being a relatively new technology, it is not easy to find qualified administrators [4]. The major objective of this project is to provide a framework that optimizes MapReduce programs that run on large datasets. This is done by executing the MapReduce program on a part of the dataset using stored parameter combinations and setting the program with the most efficient combination and this modified program can be executed over the different datasets. We know that many MapReduce programs are used over and over again in applications like daily weather analysis, log analysis, daily report generation etc. So, once the parameter combination is set, it can be used on a number of data sets efficiently. This feature can go a long way towards improving the productivity of users who lack the skills to optimize programs themselves due to lack of familiarity with MapReduce or with the data being processed.
APA, Harvard, Vancouver, ISO, and other styles
10

Gembler, Felix [Verfasser]. "Parameter Optimization for Brain-Computer Interfaces based on Visual Evoked Potentials / Felix Gembler." Bielefeld : Universitätsbibliothek Bielefeld, 2020. http://d-nb.info/1222672227/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Computer Optimization of Parameters"

1

Romanovich, Statnikov Alexander, ed. The parameter space investigation method toolkit. Boston: Artech House, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bock, Hans Georg. Model Based Parameter Estimation: Theory and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Nemzow, Martin A. W. Computer performance optimization. New York: McGraw-Hill, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Osterhage, Wolfgang W. Computer Performance Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29971-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Computer performance optimization. New York: McGraw-Hill, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Treiber, Marco Alexander. Optimization for Computer Vision. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5283-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

FORTRAN optimization. London: Academic Press, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Trosset, Michael W. Numerical optimization using computer experiments. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Abidi, Mongi A., Andrei V. Gribok, and Joonki Paik. Optimization Techniques in Computer Vision. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46364-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Leondes, Cornelius T. Optimization techniques. San Diego: Academic Press, 1998.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Computer Optimization of Parameters"

1

Siddiqi, A. H., Z. Aslan, and A. Tokgozlu. "Wavelet Based Computer Simulation of Some Meteorological Parameters: Case Study in Turkey." In Applied Optimization, 95–115. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4613-0263-6_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gao, Gaili, Hefei Zhao, Jun Liu, and Daoliang Li. "Important Parameters Optimization for Opening Cotton Device." In Computer and Computing Technologies in Agriculture V, 460–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27275-2_52.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Xiangyin, Guang Chen, and Songmin Jia. "Parameters Optimization of PID Controller Based on Improved Fruit Fly Optimization Algorithm." In Lecture Notes in Computer Science, 421–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93815-8_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Barkalov, Konstantin, Alexey Polovinkin, Iosif Meyerov, Sergey Sidorov, and Nikolai Zolotykh. "SVM Regression Parameters Optimization Using Parallel Global Search Algorithm." In Lecture Notes in Computer Science, 154–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39958-9_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Tuba, Eva, Milan Tuba, and Marko Beko. "Support Vector Machine Parameters Optimization by Enhanced Fireworks Algorithm." In Lecture Notes in Computer Science, 526–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41000-5_52.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Larkin, Eugene V., Sergey V. Feofilov, and Andrew Kozyr. "Parameters Optimization of Relay Self-oscillations Sampled Data Controller Based on Particle Swarm Optimization." In Lecture Notes in Computer Science, 106–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26369-0_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Neumüller, Christoph, Stefan Wagner, Gabriel Kronberger, and Michael Affenzeller. "Parameter Meta-optimization of Metaheuristic Optimization Algorithms." In Computer Aided Systems Theory – EUROCAST 2011, 367–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27549-4_47.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mesejo, Pablo, Sandrine Saillet, Olivier David, Christian Bénar, Jan M. Warnking, and Florence Forbes. "Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization." In Lecture Notes in Computer Science, 528–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24571-3_63.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Castillo, Pedro A., Juan J. Merelo, Jesús González, Víctor Rivas, and Gustavo Romero. "SA-prop: Optimization of multilayer perceptron parameters using simulated annealing." In Lecture Notes in Computer Science, 661–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0098224.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Qiu, Yiming, Wenqi Li, Dongsheng Yang, Lei Wang, and Qidi Wu. "Identification of VSD System Parameters with Particle Swarm Optimization Method." In Lecture Notes in Computer Science, 227–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21515-5_27.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Computer Optimization of Parameters"

1

Bashashati, Hossein, Rabab K. Ward, and Ali Bashashati. "Bayesian optimization of BCI parameters." In 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2016. http://dx.doi.org/10.1109/ccece.2016.7726801.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bai, Enjian, Yun Zhang, Xueqin Jiang, Yun Wu, Zhen Shi, Xiaodong Lin, and Zelin Pei. "Cascade protocol with parameters and backtracking optimization." In 2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA). IEEE, 2021. http://dx.doi.org/10.1109/icpeca51329.2021.9362598.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Xuejun, Jingchi Yu, and Zhongyu Zhang. "Optimization of polishing parameters in computer-controlled optical polishing process." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Ryszard J. Pryputniewicz, Gordon M. Brown, and Werner P. O. Jueptner. SPIE, 1996. http://dx.doi.org/10.1117/12.245180.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Shu-wei Liu, Liang-Hao, and Gang-Li. "Optimization research of vehicle damper matching parameters." In 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC). IEEE, 2013. http://dx.doi.org/10.1109/mec.2013.6885584.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ahmadi, Mehdi, and Sied Mehdi Fakhraie. "Optimization of viterbi decoder parameters for WRAN system." In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497679.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Bidar, Mahdi, Edris Fattahi, and Hamidreza Rashidy Kanan. "Modified Krill Herd Optimization algorithm using chaotic parameters." In 2014 4th International eConference on Computer and Knowledge Engineering (ICCKE). IEEE, 2014. http://dx.doi.org/10.1109/iccke.2014.6993468.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

LI, Zhaosheng. "The Optimization Design of PID Controller Parameters Based On Particle Swarm Optimization." In 2016 5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/icamcs-16.2016.96.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Li, Jing, Yuefei Zhao, Xijun Gao, and Wei Zhao. "Feature Extraction and SVM Parameters Optimization Based on ICQPSO." In 2020 International Conference on Computer Network, Electronic and Automation (ICCNEA). IEEE, 2020. http://dx.doi.org/10.1109/iccnea50255.2020.00074.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Norlina, M. S., P. Mazidah, N. D. Md Sin, and M. Rusop. "Computational intelligence technique in optimization of nano-process deposition parameters." In 2015 7th Computer Science and Electronic Engineering (CEEC). IEEE, 2015. http://dx.doi.org/10.1109/ceec.2015.7332722.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Andriychuk, Mykhaylo. "optimization of Network and Scattering Parameters of Microstrip Structure." In 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON). IEEE, 2019. http://dx.doi.org/10.1109/ukrcon.2019.8879968.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Computer Optimization of Parameters"

1

Shea, Thomas B. Optimization of Neuronal-Computer Interface. Fort Belvoir, VA: Defense Technical Information Center, June 2009. http://dx.doi.org/10.21236/ada515409.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Emanuel, Kerry A. Variational Optimization of Sub-Grid Scale Convection Parameters. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/760094.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Thompson, Kathleen A. Optimization of NLC machine parameters for specific physics processes. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/15065.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Coe, Harold H. Spur-Gear Optimization Using SPUROPT Computer Program. Fort Belvoir, VA: Defense Technical Information Center, September 1991. http://dx.doi.org/10.21236/ada241379.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Green, D. Optimization of CMS HCAL parameters using hanging file test data. Office of Scientific and Technical Information (OSTI), June 1994. http://dx.doi.org/10.2172/10169953.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zivkovic-Rothman, M. Variational optimization of sub-grid scale convection parameters. Final report. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/663533.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sittaramane, Azhagapattar, and Govindarajan Mahendran. Optimization of Diffusion Bonding Parameters of Dissimilar Aluminium Matrix Composites. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, April 2019. http://dx.doi.org/10.7546/crabs.2019.04.11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Beaman, Joseph J. Computer Modeling and Optimization of OBOGS with Contaminants. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada178038.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hamrick, Todd. Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1060223.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ng, Melissa R., Bryan Moran, Logan Bekker, and Nikola Dudukovic. Large Area Projection Microstereolithography: Characterization and Optimization of 3D Printing Parameters. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1305839.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Computer Optimization of Parameters' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography