Log in

Relevant bibliographies by topics / Neural-genetic algorithm / Dissertations / Theses

To see the other types of publications on this topic, follow the link: Neural-genetic algorithm.

Dissertations / Theses on the topic 'Neural-genetic algorithm'

Author: Grafiati

Published: 30 May 2022

Last updated: 30 July 2025

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

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Neural-genetic algorithm.'

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.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

Tong, Dong Ling. "Genetic algorithm-neural network : feature extraction for bioinformatics data." Thesis, Bournemouth University, 2010. http://eprints.bournemouth.ac.uk/15788/.

Full text

Abstract:

With the advance of gene expression data in the bioinformatics field, the questions which frequently arise, for both computer and medical scientists, are which genes are significantly involved in discriminating cancer classes and which genes are significant with respect to a specific cancer pathology. Numerous computational analysis models have been developed to identify informative genes from the microarray data, however, the integrity of the reported genes is still uncertain. This is mainly due to the misconception of the objectives of microarray study. Furthermore, the application of variou

APA, Harvard, Vancouver, ISO, and other styles

2

Blomström, Karl. "Benchmarking an artificial neural network tuned by a genetic algorithm." Thesis, Umeå universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-58253.

Full text

Abstract:

This thesis starts with a brief introduction to neural networks and the tuning of neural networks using genetic algorithms. An improved genetic algorithm is benchmarked using the technical paper Proben1 as a starting point. The benefits of using a genetic algorithm as well as results of the benchmark tests in comparison to a resilient backpropagation algorithm are discussed. The improved genetic algorithm is not a universal solution to all classification problems. Even though it outperforms the resilient backpropagation algorithm slightly in these benchmark tests more benchmarking on more vas

APA, Harvard, Vancouver, ISO, and other styles

3

Murnion, Shane D. "Neural and genetic algorithm applications in GIS and remote sensing." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

McMurtrey, Shannon Dale. "Training and Optimizing Distributed Neural Networks Using a Genetic Algorithm." NSUWorks, 2010. http://nsuworks.nova.edu/gscis_etd/243.

Full text

Abstract:

Parallelizing neural networks is an active area of research. Current approaches surround the parallelization of the widely used back-propagation (BP) algorithm, which has a large amount of communication overhead, making it less than ideal for parallelization. An algorithm that does not depend on the calculation of derivatives, and the backward propagation of errors, better lends itself to a parallel implementation. One well known training algorithm for neural networks explicitly incorporates network structure in the objective function to be minimized which yields simpler neural networks. Prior

APA, Harvard, Vancouver, ISO, and other styles

5

Reiling, Anthony J. "Convolutional Neural Network Optimization Using Genetic Algorithms." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1512662981172387.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Kopel, Ariel. "NEURAL NETWORKS PERFORMANCE AND STRUCTURE OPTIMIZATION USING GENETIC ALGORITHMS." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/840.

Full text

Abstract:

Artificial Neural networks have found many applications in various fields such as function approximation, time-series prediction, and adaptive control. The performance of a neural network depends on many factors, including the network structure, the selection of activation functions, the learning rate of the training algorithm, and initial synaptic weight values, etc. Genetic algorithms are inspired by Charles Darwin’s theory of natural selection (“survival of the fittest”). They are heuristic search techniques that are based on aspects of natural evolution, such as inheritance, mutation, sele

APA, Harvard, Vancouver, ISO, and other styles

7

MacLeod, Christopher. "The synthesis of artificial neural networks using single string evolutionary techniques." Thesis, Robert Gordon University, 1999. http://hdl.handle.net/10059/367.

Full text

Abstract:

The research presented in this thesis is concerned with optimising the structure of Artificial Neural Networks. These techniques are based on computer modelling of biological evolution or foetal development. They are known as Evolutionary, Genetic or Embryological methods. Specifically, Embryological techniques are used to grow Artificial Neural Network topologies. The Embryological Algorithm is an alternative to the popular Genetic Algorithm, which is widely used to achieve similar results. The algorithm grows in the sense that the network structure is added to incrementally and thus changes

APA, Harvard, Vancouver, ISO, and other styles

8

Deane, Jason. "Scheduling online advertisements using information retrieval and neural network/genetic algorithm based metaheuristics." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015400.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Fischer, Manfred M., and Yee Leung. "A Genetic Algorithm Based Evolutionary Computational Neural Network for Modelling Spatial Interaction Data." WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/4151/1/WSG_DP_6198.pdf.

Full text

Abstract:

Building a feedforward computational neural network model (CNN) involves two distinct tasks: determination of the network topology and weight estimation. The specification of a problem adequate network topology is a key issue and the primary focus of this contribution. Up to now, this issue has been either completely neglected in spatial application domains, or tackled by search heuristics (see Fischer and Gopal 1994). With the view of modelling interactions over geographic space, this paper considers this problem as a global optimization problem and proposes a novel approach that embeds

APA, Harvard, Vancouver, ISO, and other styles

10

Stivason, Charles T. "Industry Based Fundamental Analysis: Using Neural Networks and a Dual-Layered Genetic Algorithm Approach." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/40422.

Full text

Abstract:

This research tests the ability of artificial learning methodologies to map market returns better than logistic regression. The learning methodologies used are neural networks and dual-layered genetic algorithms. These methodologies are used to develop a trading strategy to generate excess returns. The excess returns are compared to test the trading strategy's effectiveness. Market-adjusted and size-adjusted excess returns are calculated. Using a trading strategy based approach the logistic regression models generated greater returns than the neural network and dual-layered genetic algo

APA, Harvard, Vancouver, ISO, and other styles

11

Buys, Stefan. "Genetic algorithm for Artificial Neural Network training for the purpose of Automated Part Recognition." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1008356.

Full text

Abstract:

Object or part recognition is of major interest in industrial environments. Current methods implement expensive camera based solutions. There is a need for a cost effective alternative to be developed. One of the proposed methods is to overcome the hardware, camera, problem by implementing a software solution. Artificial Neural Networks (ANN) are to be used as the underlying intelligent software as they have high tolerance for noise and have the ability to generalize. A colleague has implemented a basic ANN based system comprising of an ANN and three cost effective laser distance sensors. Howe

APA, Harvard, Vancouver, ISO, and other styles

12

Cheng, Martin Chun-Sheng, and pjcheng@ozemail com au. "Dynamical Near Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN) with Genetic Algorithm." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030722.172812.

Full text

Abstract:

Type-2 fuzzy logic system (FLS) cascaded with neural network, called type-2 fuzzy neural network (T2FNN), is presented in this paper to handle uncertainty with dynamical optimal learning. A T2FNN consists of type-2 fuzzy linguistic process as the antecedent part and the two-layer interval neural network as the consequent part. A general T2FNN is computational intensive due to the complexity of type 2 to type 1 reduction. Therefore the interval T2FNN is adopted in this paper to simplify the computational process. The dynamical optimal training algorithm for the two-layer consequent part of inte

APA, Harvard, Vancouver, ISO, and other styles

13

Cheng, Martin Chun-Sheng. "Dynamical Near Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN) with Genetic Algorithm." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/366350.

Full text

Abstract:

Type-2 fuzzy logic system (FLS) cascaded with neural network, called type-2 fuzzy neural network (T2FNN), is presented in this paper to handle uncertainty with dynamical optimal learning. A T2FNN consists of type-2 fuzzy linguistic process as the antecedent part and the two-layer interval neural network as the consequent part. A general T2FNN is computational intensive due to the complexity of type 2 to type 1 reduction. Therefore the interval T2FNN is adopted in this paper to simplify the computational process. The dynamical optimal training algorithm for the two-layer consequent part of inte

APA, Harvard, Vancouver, ISO, and other styles

14

Kothari, Bhavin Chandrakant. "Structural optimisation of artificial neural networks by the genetic algorithm using a new encoding scheme." Thesis, Brunel University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389263.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Zhang, Xiaohui. "Development and Testing of a Combined Neural-Genetic Algorithm to Identify CO2 Sequestration Candidacy Wells." Thesis, University of Louisiana at Lafayette, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1594272.

Full text

Abstract:

<p>This study was motivated by how to use statistical tool to identify the candidacy wells for CO2 Capture and Sequestration based on the idea of using Artificial Neural Networks to predict the leakage index of a well. A Combined Neural-Genetic Algorithm was introduced to avoid BP neural network getting a local minimum because Genetic Algorithm simulates the survival of the fittest among individuals over consecutive generation. Based on the algorithm, 1356 lines of C code were composed using Microsoft Visual Studio 2010. The Combined Neural-Genetic Algorithm developed in this thesis is able t

APA, Harvard, Vancouver, ISO, and other styles

16

Spittle, Mark Charles. "Complexity reduction in artificial neural networks with an emphasis on genetic algorithm based optimisation techniques." Thesis, Cardiff University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389853.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Dehaven, Ryan Swords. "Smarter NEAT Nets." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1024.

Full text

Abstract:

This paper discusses a modification to improve usability and functionality of a ge- netic neural net algorithm called NEAT (NeuroEvolution of Augmenting Topolo- gies). The modification aims to accomplish its goal by automatically changing parameters used by the algorithm with little input from a user. The advan- tage of the modification is to reduce the guesswork needed to setup a successful experiment with NEAT that produces a usable Artificial Intelligence (AI). The modified algorithm is tested against the unmodified NEAT with several different setups and the results are discussed. The algor

APA, Harvard, Vancouver, ISO, and other styles

18

Leong, Sio Hong. "Kinematics control of redundant manipulators using CMAC neural networks combined with Descent Gradient Optimizers & Genetic Algorithm Optimizers." Thesis, University of Macau, 2003. http://umaclib3.umac.mo/record=b1446170.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Sahebi, Mahmod Reza. "Understanding microwave backscattering of bare soils by using the inversion of surface parameters, neural networks and genetic algorithm." Thèse, Université de Sherbrooke, 2003. http://savoirs.usherbrooke.ca/handle/11143/2736.

Full text

Abstract:

Estimates of the physical parameters of the soil surface, namely moisture content and surface roughness, are important for hydrological and agricultural studies, as they appear to be the two major parameters for runoff forecasting in an agricultural watershed. Radar has high potentiality for the remote measurement of soil surface parameters. In particular, the investigation of the radar backscattering response of bare soil surfaces is an important issue in remote sensing because of its capacity for retrieving the desired physical parameters of the surface. The objective of this study is to for

APA, Harvard, Vancouver, ISO, and other styles

20

Li, Keh-Tsong, and 李克聰. "Neural Network combined with Genetic Algorithm-Evolutionary Neural Network." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/37236508646662658444.

Full text

Abstract:

碩士<br>國立交通大學<br>電機與控制工程系<br>87<br>This thesis presents a Real-Coded Rank-Based Genetic Algorithm (RCRBGA), which is represented by a chromosome containing parameters in floating-point. The use of rank-based fitness increases the population diversity. The offspring are generated by the rank-based reproduction, real parametric crossover and mutation in the evolving process. Besides, an Evolutionary Neural Network (ENN) which combines RCRBGA and Back-Propagation (BP) is introduced. ENN applies the learning concept to the evolution process, like the behavior of human beings. It not only impro

APA, Harvard, Vancouver, ISO, and other styles

21

Fong-Hang, Liao, and 廖鴻翰. "Construct Neural Network Model Using Genetic Algorithm." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/60094674695662600817.

Full text

Abstract:

碩士<br>大葉大學<br>電機工程研究所<br>86<br>In this thesis a new Genetic Algorithm to optimize weights and topology of Neural Networks is presented and compared with other learning methods, such as gradient-descent learning algorithm, and other evolutionary system. Since the characteristics of topology space and weight space (one of them is in integer space and the other is in real space) are absolutely different, it is very difficult to optimize both of them at the same time. Cascade-Correlation algorithm (CCA) is a popular supervised learning architecture that dynamically grows layers of hidden neurons,

APA, Harvard, Vancouver, ISO, and other styles

22

Hsu, Tung-Jung, and 許東榮. "Integrating Genetic Algorithm with Neural Network for." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/37047274475860922509.

Full text

Abstract:

碩士<br>國立勤益科技大學<br>工業工程與管理系<br>101<br>Taiwan, which possesses cutting-edge industries, lacking for natural resources, and dominating the field in semiconductors, optoelectronics, information, communications, electronics precision manufacturing technology. In recent years, with the rapid growth of international trade and the competitive environment, inbound and outbound passengers and volume of imported goods are increasing. In addition to execution levied on tariffs and preventing smuggling, Customs officers must perform border control measures, such as national security, quarantine, environmen

APA, Harvard, Vancouver, ISO, and other styles

23

Chen, lily, and 陳麗莉. "A Neural Genetic Algorithm for Product Design." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/76419743128612100659.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Chen, Tsung-Hung, and 陳宗宏. "Neural networks assess liquefaction of sand -Genetic algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/44542373651175737769.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Lee, I.-Ting, and 李宜庭. "Evolution of Neural Circuit Models by Genetic Algorithm." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/bx28bc.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Li, Hai-Han, and 李海涵. "An Improved Algorithm Applied in Training Neural Network-Combined with Genetic Algorithm." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/et2442.

Full text

Abstract:

碩士<br>國立臺北科技大學<br>商業自動化與管理研究所<br>93<br>Gradient steepest descent (GSD) is often used to train the back-propagation neural network (BPN) because of its excellent performance of reducing training errors; however, it also has some drawbacks such as slow convergence and local optimum problem. Many improved methods are proposed to amend the aforementioned demerits; for example, momentum can be employed to accelerate convergence, and global search methods, e.g. probabilistic climbing search and taboo search (TS), etc. are introduced to fix the local optimum problem. Nevertheless, some weaknesses exi

APA, Harvard, Vancouver, ISO, and other styles

27

Yang, Guo-Feng, and 楊國鋒. "Face Detection Using Genetic Algorithm and Artificial Neural Network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/18758722183870591957.

Full text

Abstract:

碩士<br>元智大學<br>資訊工程學系<br>96<br>Human face represents one of the most common patterns in our vision. Therefore, automatic recognition of human faces is an essential task in many applications such as criminal identification and security checks. The first important step of automatic human face recognition is to detect face in a given unknown picture. However, the task of automatic face detection in a complex background is difficult to cope with. In this thesis, discriminating features are selected by genetic algorithm with neural network so as to design an accurate face detector. Moreover, verific

APA, Harvard, Vancouver, ISO, and other styles

28

Feng, Yen-Ru, and 馮彥儒. "Text Detection Using Genetic Algorithm and Artificial Neural Network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/62282555625352186744.

Full text

Abstract:

碩士<br>元智大學<br>資訊工程學系<br>96<br>The text embedded in images and video streams imply tremendous information. Thus, text extraction from image or video streams has been widely applied in a variety of application fields, such as document analysis, content-based retrieval and intelligent transportation system, etc. However, texts are often embedded in an image and may vary in language, font, size, and deformation, which, in turn enhance the difficulty of text detection problem. In this thesis, discriminating features are selected by genetic algorithm with neural network. Moreover, fusion of pyramid

APA, Harvard, Vancouver, ISO, and other styles

29

Ying-Yi, Wang. "A Hybrid Neural-genetic Algorithm for Reservoir Water Quality Management." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2007200610412000.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Wang, Ying-Yi, and 王英義. "A Hybrid Neural-genetic Algorithm for Reservoir Water Quality Management." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/87142282187697168993.

Full text

Abstract:

博士<br>國立臺灣大學<br>土木工程學研究所<br>94<br>There has been concern over the water quality in Feitsui Reservoir, particularly since the beginning of Taipei-Ilan highway construction in 1991. In the present study, a combined artificial neural network (ANN) and genetic algorithms (GAs) approach was proposed for water quality management of Feitsui Reservoir in Taiwan. First, two simplified water quality models based on ANN were developed and used as universal approximators to imitate the cause-and-effect relationships between phosphorus loads from the watershed and water quality concentrations (total phos

APA, Harvard, Vancouver, ISO, and other styles

31

Huang, Shin-Mao, and 黃鑫茂. "A Novel Neural Network Training Technique by Using Genetic Algorithm." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/75933188485584344214.

Full text

Abstract:

碩士<br>國立交通大學<br>電機與控制工程系<br>88<br>This thesis investigates a novel neural network training technique, which employs the genetic algorithm to finding the initial values of the neural network. It is represented by a chromosome containing parameters in floating-point, so that the convergence rate to the minima becomes faster. This hybrid algorithm can overcome not only the drawback of easily slumping into local minima of back-propagation but also the genetic algorithm’s defect that can’t efficiently converge to the minima of the neighborhood. Further, the thesis shows that a gene changing one

APA, Harvard, Vancouver, ISO, and other styles

32

Shia, Yu-Lung, and 夏裕龍. "Apply Genetic Algorithm And Neural Network To Forecast Taiwan Weather." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/78336942646795301517.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Chang, Chia-Tsang, and 張家瑲. "Application of Neural Network and Genetic Algorithm to System Identification." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/73351083036139978352.

Full text

Abstract:

碩士<br>朝陽科技大學<br>營建工程系碩士班<br>91<br>Taiwan is a high seismic zone since it is located at the active arc-continent collision region between the Luzon arc of the Philippine Sea plate and the Eurasian plate. The Chi-Chi Earthquake is the largest inland earthquake occurred in Taiwan during this century. Due to the great damage caused by this earthquake, more and more emphases have been put on the earthquake resistant design of buildings. Dynamic behavior of buildings under earthquakes should be considered in the process of design. In order to realize the dynamic behavior of structural systems subjec

APA, Harvard, Vancouver, ISO, and other styles

34

Chang, Chen-Chi, and 張錦基. "Measuring body fat using regression analysis﹐artificial neural network and genetic algorithm neural network." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/60672346971399257994.

Full text

Abstract:

碩士<br>淡江大學<br>資訊工程學系碩士在職專班<br>98<br>Body fat mass is one of the health indicators. Measuring it is helpful to understand the relationship between body fat and diseases. Although, cadaver dissection provides the most accurate method to assess the value. But, it is not appropriate for the people who are living. Additionally, some accurate methods, such as underwater weighting, isotope dilution, bioelectrical impedance analysis , are complicated and costly incredibly. Therefore, Young Men''s Christian Association (YMCA) and the United States army tried to develop instruments for gauging body fat.

APA, Harvard, Vancouver, ISO, and other styles

35

Hippolyte, Djonon Tsague. "MACHINE CONDITION MONITORING USING NEURAL NETWORKS: FEATURE SELECTION USING GENETIC ALGORITHM." Thesis, 2007. http://hdl.handle.net/10539/2127.

Full text

Abstract:

Student Number : 9800233A - MSc dissertation - School of Electrical and Information Engineering - Faculty of Engineering and the Built Environment<br>Condition monitoring of machinery has increased in importance as more engineering processes are automated and the manpower required to operate and supervise plants is reduced. The monitoring of the condition of machinery can significantly reduce the cost of maintenance. Firstly, it can allow an early detection of potential catastrophic fault, which could be extremely expensive to repair. Secondly, it allows the implementation of conditions

APA, Harvard, Vancouver, ISO, and other styles

36

Shen, Tzung-Tza, and 沈宗澤. "Training Artificial Neural Network Using Genetic Algorithm and Conjugate Gradient Method." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/18262883491045855458.

Full text

Abstract:

碩士<br>國立成功大學<br>航空太空工程學系<br>89<br>The purpose of this study is to combine the conjugate gradient method(CG) and the genetic algorithm(GA) for the training of artificial neural networks(ANN). The back-propagation artificial neural network is a broadly used artificial neural network in many areas. It usually adopts the steepest descent method(SD) to search for a set of connection weights that minimizes the training error. But the convergence of the steepest descent method is very slow and easy to trap into a local optimal. In order to speed up the convergence, the conjugate gradient method searc

APA, Harvard, Vancouver, ISO, and other styles

37

Lee, Jung-Che, and 李榮哲. "Implementation of FPGA-Based Artificial Neural Network Combined with Genetic Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/92274078038329124679.

Full text

Abstract:

碩士<br>國立交通大學<br>電控工程研究所<br>100<br>This thesis is aimed to implement the hardware structure of the genetic algorithm (GA), which is applied to search the optimal weights for the FPGA-based artificial neural network (ANN). In contrast with the traditional gradient algorithm, GA uses multi-point population to search the optimum, which is suitable to implement on FPGA in binary code without complex computation. There are two modules proposed for GA hardware to speed up searching, CMU and SU. The CMU generates one crossover mask and two mutation masks at the same time, not in order, to reduce a lot

APA, Harvard, Vancouver, ISO, and other styles

38

LAI, I.-CHIEN, and 賴以建. "GENETIC ALGORITHM, NEURAL NETWORK AND DECISION TREE IN PRE-WARNING MODELS." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/34939994824622402263.

Full text

Abstract:

碩士<br>國立臺北大學<br>企業管理學系<br>91<br>In the past, the pre-warning models for Financial Crisis are usually established based on traditional statistical methods such as Discriminant Analysis. However, it is often questionable whether the financial data satisfies the assumptions of such models. Therefore, this study investigates the construction of pre-warning model through nonlinear methods such as Genetic Algorithm and Neural Network. In additional, since the reference value for the key indicator that influences business failure most cannot be extracted from the pre-warning model, this study starts

APA, Harvard, Vancouver, ISO, and other styles

39

Yang, Chia-Rong, and 楊佳榮. "Simulated Annealing, Genetic Algorithm, and Neural Network for Seismic Velocity Picking." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/09117340783882246780.

Full text

Abstract:

碩士<br>國立交通大學<br>生醫工程研究所<br>101<br>Velocity picking is an important step for seismic data processing. It is to pick several time-velocity pairs forming a polyline in a semblance image to represent the time and velocity relation in layers. Conventionally the geophysicists did it, but it took much time. We transfer it to a combinatorial problem which is finding the best combination from the set of candidate points. We define an objective function of energy that includes total semblance value of picked points, and constraints on the number of picked points, interval velocity, and velocity slope. W

APA, Harvard, Vancouver, ISO, and other styles

40

Chen, Chi-Wei, and 陳啟瑋. "Hybrid Genetic Algorithm and Neural Network to Design A PID Controller." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/91856841436605951017.

Full text

Abstract:

碩士<br>國立臺灣海洋大學<br>機械與機電工程學系<br>98<br>The PID controller operation is simple and easy to design, and it has been used widely in industrial applications. The performance of controller depends on the control parameters. As the PID controller parameter set dependence of experience or experiment to determine, it is difficult to get the best parameters. The back-propagation neural network uses the steepest gradient decent method to adjust weights. The initial weights of neural network generate by random or experience. This will cause time-consuming and poor reliability. This paper proposes a genetic

APA, Harvard, Vancouver, ISO, and other styles

41

Zhu, Yuqing. "Nonlinear system identification using a genetic algorithm and recurrent artificial neural networks." Thesis, 2006. http://spectrum.library.concordia.ca/9060/1/MR20771.pdf.

Full text

Abstract:

In this study, the application of Recurrent Artificial Neural Network (RANN) in nonlinear system identification has been extensively explored. Three RANN-based identification models have been presented to describe the behavior of the nonlinear systems. The approximation accuracy of RANN-based models relies on two key factors: architecture and weights. Due to its inherent property of parallelism and evolutionary mechanism, a Genetic Algorithm (GA) becomes a promising technique to obtain good neural network architecture. A GA is developed to approach the optimal architecture of a RANN with multi

APA, Harvard, Vancouver, ISO, and other styles

42

Ho, Cheng-Yi, and 何承懌. "Optimal Chiller Loading by Genetic Algorithm based on Artificial Neural Network model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/d96phv.

Full text

Abstract:

碩士<br>國立臺北科技大學<br>能源與冷凍空調工程系碩士班<br>98<br>In large HVAC systems, the chiller is usually the most power-consuming component. Although different chillers have similar capacities and performance at the initial stage of operation, due to factors such as varying amount of water distribution, different installation locations, pump supply efficiency, chiller initiation sequence, operating time and so forth after specific amount of operation time, different chillers gradually exhibit varying levels of operational performance. In order to determine the characteristics of chiller operation, one must moni

APA, Harvard, Vancouver, ISO, and other styles

43

Chen, Yuan-Wen, and 陳淵文. "Using Neural Network and Genetic Algorithm to Implement Artificial Intelligence of Starcraft." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/31382797757704133886.

Full text

Abstract:

碩士<br>國立中正大學<br>資訊工程研究所<br>102<br>StarCraft is a Real-Time War Strategy video game developed by Blizzard Entertainment in 1998. Real Time Strategy Games are one of the most popular game schemes in PC markets and offer a dynamic environment that involves several interacting agents. The core strategies that need to be developed in these games are unit micro management, building order, resource management, and the game main tactic. The player must reason about high-level strategy and planning while having effective tactics. Unfortunately, current games only use scripted and fixed behaviors for th

APA, Harvard, Vancouver, ISO, and other styles

44

Lu, Chin-Lung, and 呂金龍. "Integrating genetic algorithm and neural networks to predict the manufacturing process quality." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/23235695152575215410.

Full text

Abstract:

碩士<br>國立勤益科技大學<br>工業工程與管理系<br>100<br>The society demands change rapidly that consumers are attention to the product quality and require better product quality. The product quality is important to obtain the consumer’s favorite. It is result continue to improve by comparing quality and appearance in industry. The factories that is able to satisfy consumers will get more orders and earn more profit. The product is unable to satisfy consumers .The consumer market will disappear. Therefore, it is important to keep and improve the product quality. The steel ball is the basic materials of bearing in

APA, Harvard, Vancouver, ISO, and other styles

45

Huang, Hao-Fan, and 黃皓汎. "Clear Air Turbulence Avoidance Strategy via Genetic Algorithm & Neural Network Methods." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/54893682778818764720.

Full text

Abstract:

碩士<br>淡江大學<br>航空太空工程學系<br>90<br>In modern airline’s operation, clear air turbulence (CAT) remains one of the most influential factors in flight safety and flight quality consideration. In this research we use Matlab to create 3-D turbulence based on the real turbulence profiles, and prediction parameters (indices) T1, T2 and T3. The T1 factor is to define the turbulence intensity, the T2 and T3 factors are the response of aircraft in linear acceleration and three angular accelerations. Finally we use the genetic algorithm and combining the genetic algorithm (GA) and annealed neural network (AN

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, You-Chuang, and 王有傳. "Speaker Identificattion Based on Fuzzy Theory and Neural Newworks Using Genetic Algorithm." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/38359183552346692002.

Full text

Abstract:

碩士<br>淡江大學<br>電機工程學系<br>85<br>This paper focuses on the speaker identification system, and has a detailed introduction about the speech feature. This system uses fuzzy theory, neural networks and genetic algorithm as the recognition structure. In text-dependent speaker identification, the author just used the back-propagation neural network as the recognition scheme and trained the personal neural networks using genetic algorithm. From the results of experiment, we find that the features which combine static cepstrum with dynamic spectrum are better. The recognition rate decreases as th

APA, Harvard, Vancouver, ISO, and other styles

47

Lin, Adam, and 林弋喆. "Artificial Neural Network & Genetic Algorithm for Relative Optimization of Products Form." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/66502504130171668219.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

CHIH, LIN CHIEN, and 林建智. "A study on integrated application of genetic algorithm and artificial neural network." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/26610585807673509540.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Wei, Chih-hsiu, and 韋至修. "Fuzzy Clustering by Distributed Genetic Algorithm and Multi-Synapse Neural Network Approaches." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/15901631622604488212.

Full text

Abstract:

博士<br>國立臺灣科技大學<br>電機工程系<br>90<br>The area of research in this dissertation is fuzzy c-partition clustering, which is understood to be the grouping of similar objects with the concept of fuzzy set theory to incorporate the uncertainty of the final classification results. There are three parts in this dissertation. The first part is an overview of fuzzy c-partition clustering. In the second part, two distributed approaches of genetic search strategies for fuzzy clustering are proposed to surmount the problem of huge search space in the traditional combination of evolutionary algorithms and fuzzy

APA, Harvard, Vancouver, ISO, and other styles

50

Lee, Ming-chang, and 李明璋. "Artificial Neural Network with Genetic Algorithm for Nonlinear Model of Machining Processes." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/88047810592371927245.

Full text

Abstract:

碩士<br>國立高雄第一科技大學<br>機械與自動化工程研究所<br>100<br>This study an artificial neural network (ANN) model with hybrid Taguchi-genetic algorithm (HTGA) is applied in a nonlinear multiple-input multiple-output (MIMO) model of machining processes. The HTGA in the MIMO ANN model optimizes parameters (i.e., weights of links and biases governing ) input-output relationships in the ANN by directly minimizing root-mean-squared error (RMSE), which is a key performance criterion. Experimental results show that, for nonlinear modeling of machining processes, the proposed MIMO HTGA-based ANN model has better predicti

APA, Harvard, Vancouver, ISO, and other styles

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!