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Thèses sur le sujet « BACTERIA FORAGING »

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Publié le 11 septembre 2023

Mis à jour le 25 juillet 2025

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1

Vetter, Yves-Alain. "Bacterial foraging with cell-free enzymes /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/11033.

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Ladevèze, Simon. "Functional and structural insights into Glycoside Hydrolase family 130 enzymes : implications in carbohydrate foraging by human gut bacteria." Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0010/document.

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Les relations entre bactéries intestinales, aliments et hôte jouent un rôle crucial dans lemaintien de la santé humaine. La caractérisation fonctionnelle d’Uhgb_MP, une enzyme dela famille 130 des glycoside hydrolases découverte par métagénomique fonctionnelle, arévélé une nouvelle fonction de dégradation par phosphorolyse des polysaccharides de laparoi végétale et des glycanes de l'hôte tapissant l'épithélium intestinal. Les déterminantsmoléculaires de la spécificité d’Uhgb_MP vis-à-vis des mannosides ont été identifiés grâce àla résolution de sa structure cristallographique, sous forme apo e

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Harso, Wahyu [Verfasser], Eckhard [Gutachter] George, Christof [Gutachter] Engels, and Klaus [Gutachter] Dittert. "The mycorrhizal plant root system : foraging activities and interaction with soil bacteria in heterogeneous soil environments / Wahyu Harso. Gutachter: Eckhard George ; Christof Engels ; Klaus Dittert." Berlin : Lebenswissenschaftliche Fakultät, 2016. http://d-nb.info/1112193022/34.

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Tang, W. J. "Optimisation algorithms inspired from modelling of bacterial foraging patterns and their applications." Thesis, University of Liverpool, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.490623.

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Research in biologically-inspired optimisation has been fl<;lurishing over the past decades. This approach adopts a bott0!ll-up viewpoint to understand and mimic certain features of a biological system. It has been proved useful in developing nondeterministic algorithms, such as Evolutionary Algorithms (EAs) and Swarm Intelligence (SI). Bacteria, as the simplest creature in nature, are of particular interest in recent studies. In the past thousands of millions of years, bacteria have exhibited a self-organising behaviour to cope with the natural selection. For example, bacteria have developed

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Nasir, Ahmad. "Bacterial foraging and spiral dynamics based metaheuristic algorithms for global optimisation with engineering applications." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/7068/.

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Supriyono, Heru. "Novel bacterial foraging optimisation algorithms with application to modelling and control of flexible manipulator systems." Thesis, University of Sheffield, 2012. http://etheses.whiterose.ac.uk/2122/.

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Biologically-inspired soft-computing algorithms, which were developed by mimicking evolution and foraging techniques of animals in nature, have attracted significant attention of researchers. The works are including the development of the algorithm itself, its modification and its application in broad areas. This thesis presents works on biologically-inspired algorithm based on bacterial foraging algorithm (BFA) and its performance evaluation in modelling and control of dynamic systems. The main aim of the research is to develop new modifications of BFA and its combination with other soft comp

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TIWARI, RAM MUKUND. "FUZZY EDGE DETECTION OF BLURRED IMAGE USING BACTERIA FORAGING." Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14020.

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This paper proposes an approach to edge detection of blurred color images. The edge detector involves two phases –Deblurring of color image using wavelet and edge detection using bacteria foraging. Here deblurring is performed without estimating the imge blur. The deblurring algorithm performs deblurring in the spectrum domain. In edge detection process, we find out the edge pixels on the basis of intensity difference value of pixel in their 8-neighbourhood. First step is Chemotaxis step in which we calculate the eight directional nutrients in the form of intensity difference and find out the

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KUMAR, AJAY. "EDGE DETECTION USING BACTERIA FORAGING & FUZZY SIMILARITY MEASURE." Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14024.

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Edges characterize boundaries and edge detection is one of the most difficult tasks in image processing hence it is a problem of fundamental importance in image processing. Edges in images are areas with strong intensity contrasts and a jump in intensity from one pixel to the next can create major variation in the picture quality. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image.In the proposed method, the bacteria foraging is used along with contemporary fuzzy logic which i

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Das, Saikishan, and K. Prasanna. "Multiple robot co-ordination using particle swarm optimisation and bacteria foraging algorithm." Thesis, 2010. http://ethesis.nitrkl.ac.in/1886/1/B.Tech_Project_Thesis_Saikishan_Das(10603062).pdf.

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The use of multiple robots to accomplish a task is certainly preferable over the use of specialised individual robots. A major problem with individual specialized robots is the idle-time, which can be reduced by the use of multiple general robots, therefore making the process economical. In case of infrequent tasks, unlike the ones like assembly line, the use of dedicated robots is not cost-effective. In such cases, multiple robots become essential. This work involves path-planning and co-ordination between multiple mobile agents in a static-obstacle environment. Multiple small robots (swarms)

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Lee, Kuo-Wei, and 李國維. "Improved Bacterial Foraging Optimization." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/22851452298832117486.

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碩士<br>大同大學<br>資訊經營學系(所)<br>101<br>This paper proposes an improved approach involving bacterial foraging optimization algorithm (BFOA) behavior. The new algorithm is called improved bacterial foraging optimization (IBFO). BFOA is a new swarm intelligence technique. Three main BFOA operation are chemotaxis, reproduction and elimination-dispersal, which are applied to global and local random searches. This powerful and effective algorithm has been used to solve various real-world optimization problem. However , BFOA has several shortages: many parameters needed to be set ; tumble angles are gener

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Lin, Guan-Yu, and 林冠喻. "Bacterial foraging for watermarkings applications." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/66p8px.

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碩士<br>國立高雄大學<br>電機工程學系碩士班<br>97<br>In recent years, along with the booming application of the Internet, digital files and associated multimedia contents can be easily acquired in our daily lives. With the inherent characteristics of lossless copying and easy spreading, the intellectual property or ownerships of the multimedia contents have become a rising problem. Data hiding and watermarking techniques aiming at protecting copyright-related issues are of considerable interest in academia and industry. In this thesis, we mainly focus on improving the requirements of watermarking applicati

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Allemneny, Raghuveer. "Bacterial Foraging Based Channel Equalizers." Thesis, 2006. http://ethesis.nitrkl.ac.in/24/1/raghuveer.pdf.

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A channel equalizer is one of the most important subsystems in any digital communication receiver. It is also the subsystem that consumes maximum computation time in the receiver. Traditionally maximum-likelihood sequence estimation (MLSE) was the most popular form of equalizer. Owing to non-stationary characteristics of the communication channel MLSE receivers perform poorly. Under these circumstances ‘Maximum A-posteriori Probability (MAP)’ receivers also called Bayesian receivers perform better. Natural selection tends to eliminate animals with poor “foraging strategies” and favor th

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Cheng, Hsiu-Tzu, and 鄭秀姿. "Bacterial Foraging Optimization for Portfolio Optimizations." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/79562681397598793645.

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碩士<br>大同大學<br>資訊經營學系(所)<br>100<br>Portfolio optimization (PO) is a mixed quadratic and integer programming problem, and an effective solution approach is essential for most investors in order to raise expected returns and reduce investment risks. To solve this problem, various heuristic algorithms, such as genetic algorithms and particle swarm optimization, have been proposed in the past. This paper aims to examine the potential of bacterial foraging optimization algorithms (BFO) for solving the portfolio optimization problem. Bacterial foraging optimization algorithm is a new swarm intelligen

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KUMARI, TANYA. "EDGE DETECTION USING BACTERIAL FORAGING AND UNIVERSAL LAW OF GRAVITY." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15059.

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Edge detection is an important step used in various image processing algorithms. Edge gives the boundary of objects and provides information to separate the object from background or other overlapping objects. This work presents a new approach for edge detection inspired by Bacterial Foraging Algorithm (BFA) and Universal Law of Gravity. Among the many evolutionary algorithms proposed BFA is one of them. It consists of 4 stages viz chemotaxis, reproduction, swarming, elimination and dispersal. Chemotaxis stage decides the direction of movement of bacteria. Our aim is to move the bacteria throu

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Yu, Chia-Jung, and 余家榮. "Design of Fuzzy PID Controllers Based on Modified Bacterial Foraging Optimization." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/21557765565511079873.

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碩士<br>國立高雄應用科技大學<br>電子工程系<br>98<br>In this thesis, we propose a modified bacterial foraging optimization (MBFO) approach, to include the synchronous bacterial foraging optimization (SBFO) and self adaptive bacterial foraging optimization (SABFO), to update the fuzzy proportional, integral, and derivative (FPID) gains which are optimized. Because of the genetic algorithm (GA) finds out the local optimal solution can not the global optimal solution for processing the complex problems. The bacterial foraging optimization (BFO) possesses chemotactic, swarming, reproduction, elimination and

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Chen, Kuan-Yu, and 陳冠宇. "Design of Adaptive Channel Equalizer Based on Modified Bacterial Foraging Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/62046402260337701178.

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碩士<br>國立高雄應用科技大學<br>電子工程系<br>99<br>In the communication systems, due to noise interference of signal transmission through channel, so the signal will need to be handled at the receiver, applying an equalizer recovering the received signal should be considered. Inter-symbol interference (ISI) is an important factor which affects the performance of communication systems, so that the originally transmitted symbols can be recovered correctly at the receiver, an equalizer can effectively eliminate ISI caused by band-limited channel or multipath. In this thesis, we propose a self adaptive bacterial

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BANSAL, MINAL. "APPLICATION OF TYPE-2 FUZZY LOGIC TO REMOVE NOISE FROM COLOUR IMAGES BY USING BACTERIAL FORAGING." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14484.

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Usually during acquisition or transmission of an image, it gets contaminated with the impulse noise. In this paper, we present a novel application of type-2 fuzzy logic to the design of an image processing operator called an impulse detector to remove this impulse noise from images. The type-2 fuzzy logic based impulse detector can be used to guide impulse noise removal filters to significantly improve their filtering performance and enhance their final images. The structure of the proposed impulse detector is based on two 3-input and 1-output first order Sugeno type, interval type-2 fuz

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Chien, You-Ming, and 簡佑銘. "Application of Bacterial Foraging Algorithm for Fault Section Estimation of Power Systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/86489363430766542072.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>96<br>The problem of fault section estimation is very important in power systems because effective fault section estimation will help facilitate the power restoration. Therefore, in this thesis, a Bacterial Foraging Algorithm (BFA) is proposed to solve the fault section estimation problem. The theme of this method is to simulate Escherichia coli such that the nutrients in the intestine can be better searched, with such a concept it is further employed to solve the fault section estimation problems. In order to validate the effectiveness of this approach, the metho

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Chou, hsiaoping, and 周小萍. "Bacterial Foraging Particle Swarm Optimization Algorithm Time-Serial Fuzzy Prediction System Design." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/67897026614561251690.

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碩士<br>國立金門大學<br>觀光管理學系<br>100<br>This study presents Particle Swarm Optimization (PSO) and Bacterial Foraging Particle Swarm Optimization (BFPSO) to develop the financial time-series prediction system. The dynamic clustering-based learning algorithm is first to determine the number of Radial Basis Function Networks (RBFN) and select the center positions of Radial Basis Function. Thus, the initial system model is fast determined. The particle swarm optimization (PSO) and recursive least square (RLS) learning machines are proposed to acquire the appropriate parameters of model system to predict

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Lu, Wei-Cheng, and 呂偉誠. "Fuzzy Bacterial Foraging System and its Applications in Control of Servo Motors." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/72551615407317176764.

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碩士<br>國立臺灣師範大學<br>應用電子科技學系<br>99<br>This thesis proposes a modified bacterial foraging algorithm to adjust the design of fuzzy systems. Since traditional bacterial foraging algorithms require complicated operations and extremely time-consuming, the modified bacterial foraging algorithm utilize some simplified procedures to reduce the computation time and increase the operation efficiency. The simplified procedures include five parts that include: 1) modified Swarm Behavior, 2) electrification bacterium hover ability, 3) modified bacterium location, 4) adjustment of bacteria source, and 5) the

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Lin, Chih-chung, and 林志忠. "A probability matrix-based Discrete Bacterial Foraging Optimization for Capacity Vehicle Routing Problems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/27872835340646727824.

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碩士<br>大同大學<br>資訊經營學系(所)<br>104<br>Vehicle routing problem (VRP) becomes more important in the distribution industry. Capacitated vehicle routing problems (CVRP) are a combinatorial optimization problem. It has been proved that CVRP is an NP-hard problem. Therefore it is hard to find optimal solutions for large-sized problems. This paper proposes a Discrete Bacterial Foraging Optimization with Probability Matrix (DBFOMAT) approach to solve the CVRP. The proposed approach uses a probability matrix as the main mechanism for solution matrix decoding. The algorithm first uses DBFO for assigning cus

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Lin, Yu-Sheng, and 林裕勝. "Bacterial Foraging Fuzzy Controllers and Its Application Study in Control of Two-Wheeled Vehicles." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/50443605853871296346.

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碩士<br>國立臺灣師範大學<br>應用電子科技研究所<br>101<br>This thesis focuses on adjusting the design of fuzzy control systems through a combination of the fuzzy control theory and the bacterial foraging algorithm. In addition, for a self-designed two wheeled vehicle, because of the reason that two-wheeled vehicle is unable to be self-balancing, a controller is required for forming a control system. The control system kernel is Megawin 82G516 single chip. The real-time data of angle and angular velocity are transmitted respectively from 3-axis accelerometer and gyroscope to the control kernel. Through the measure

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Huang, Chun-Yu, and 黃均瑜. "Design of Optimal Motion Controller for a Mecanum Wheeled Robot Using Bacterial Foraging Optimization." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/89209368293691613098.

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碩士<br>國立宜蘭大學<br>電機工程學系碩士班<br>103<br>This paper presents a bacterial foraging optimization algorithm (BFO) motion control method and its application to a four-wheeled Mecanum omnidirectional mobile robot. The optimal parameters of motion controller are auto-tuned by using the proposed BFO computing. By using Lyapunov stability theory, the closed-loop system has been proven stable. The convergent behavior of tracking errors provides better performance of the Mecanum omnidirectional mobile robot to achieve stability and trajectory tracking. The kinematic model is derived via the geometric archite

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Tung, Chih-Hauan, and 董至軒. "Automatic clustering for cell formation with alternative process routings using a Discrete Bacterial Foraging Optimization." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/4e62s3.

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碩士<br>大同大學<br>資訊經營學系(所)<br>102<br>The use of data clustering methods is one of the most popular approaches of designing cellular manufacturing systems (CMS). The aim of cell formation is to classify similar parts into part families and to group machines into manufacturing cells. In most past studies, the number of machine cells is known beforehand, but in practice there are many restrictions to obtain the number in advance. This study proposed an automatic clustering approach based on discrete bacterial foraging optimization (DBFO) algorithms to solve cell formation problems with alternative p

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Ting, Tsai You, and 蔡侑庭. "Application of Bacterial Foraging Optimization and GeneralRegression Neural Network on Taipei City House Prices Forecast." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/69331874993757814549.

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碩士<br>東吳大學<br>經濟學系<br>102<br>Abstract Having a warm home is the goal that we have to pursue, but the limited supply of land, susceptible to fluctuations in the impact of various external factors, but when faced with sudden upheaval, as previously the U.S. housing loan crisis or the Japanese real estate bubble event so big its influence can not be careless, so understanding the future trend of prices, has become the subject of government policy and people's lives are sustained attention. Known from research to explore existing literature, the use of artificial intelligence methods of forecastin

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Chen, Chieh-Han, and 陳玠含. "A Novel Strategy-adaptation-based Bacterial Foraging Optimization for FCMAC Model and Its Applications in Classification." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/06701788743677371159.

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碩士<br>國立勤益科技大學<br>資訊工程系<br>101<br>In this thesis, we propose a fuzzy cerebellar model articulation controller (FCMAC) model with improved bacterial foraging optimization (BFO). The proposed modified bacterial foraging optimization is called Strategy-adaptation-based Bacterial Foraging Optimization (SABFO). The SABFO is use to adjust the weights of FCMAC model and facilitate the actual output of the FCMAC model approximating the desired output for classifications. This thesis consisted of two major parts. In the first part, we propose a new Strategy-adaptation-based Bacterial Foraging Optimiza

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Wei, Shih-Min, and 魏世旻. "Mobile Robot Wall-following Control Using a Fuzzy CMAC with Group-based Strategy Bacterial Foraging Optimization." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/20707906136341859210.

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碩士<br>國立勤益科技大學<br>資訊工程系<br>103<br>In this paper, a fuzzy cerebellar model articulation controller (FCMAC) with group-based strategy bacterial foraging optimization (GSBFO) for mobile robot wall-following control is proposed. In the proposed FCMAC controller, the inputs are the distance between the sonar and the wall, the outputs are the angular velocity of two wheels. Through using the GSBFO to adjust parameters of FCMAC. A new fitness function is defined to evaluate the evolution of mobile robot wall-following. The fitness function includes four assessment factors which are defined as follows

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Farhat, Ibrahim A. "Economic and Economic-Emission Operation of All-Thermal and Hydro-Thermal Power Generation Systems Using Bacterial Foraging Optimization." 2012. http://hdl.handle.net/10222/14865.

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Electric power is a basic requirement for present day life and its various economic sectors. To satisfy the ever-increasing needs for electricity, the number of generating units, transmission lines and distribution systems is rising steadily. In addition, electric power systems are among the most complex industrial systems of the modern age. Beside complexity, the generation of electric power is a main source of gaseous emissions and pollutants. The planning and operation of electric power systems must be done in a way that the load demand is met reliably, cost-effectively and in an environme

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Shih, Po-Lin, and 施伯霖. "Integrated Optimal Energy Management/Gear Shifting Strategy Using Bacterial Foraging Algorithm for a Three-Power-Source Hybrid Powertrain." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/wdaw58.

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碩士<br>國立臺灣師範大學<br>工業教育學系<br>105<br>The purpose of this study is to develop the bacterial foraging algorithm (BFA) by applying it to the energy management/gear shifting strategy system of a three-power-source hybrid powertrain. Furthermore, this study was practical in nature, as it used the real-time simulation Hardware-in-the-Loop (HIL) to verify the algorithm’s feasibility. This study employs HIL to assess the influence that using BFA will have on the energy management and gear shifting strategy control of a three-power-source hybrid powertrain. The vehicle weighs 1,368 kilograms and its subs

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WANG, CHUN-HUNG, and 王俊弘. "Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimization based Desired Traffic Density Planning." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/7d739m.

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碩士<br>華梵大學<br>電子工程學系碩士班<br>105<br>For iterative learning control problem of unknown robotic systems with initial resetting errors, we propose a discrete fuzzy-neural adaptive iterative learning control (AILC) for freeway traffic flow systems with random initial resetting errors , iteration-varying desired traffic densities and random bounded off-ramp traffic volumes using traffic densities, space mean speeds and on-ramp waiting queues design. It is assumed that the system nonlinear functions and input gains are unknown for controller design. An adaptive fuzzy neural network (FNN) controller an

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Huang, Jin-Yuan, and 黃進源. "The Study of hyperspectral imaging on Paddy Rice Image Classification through Comparison of Back-Propagation Neural Network and Bacterial Foraging Optimization." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/cear4w.

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碩士<br>嶺東科技大學<br>資訊管理系碩士班<br>104<br>The hyperspectral is an advanced material which render more accurately classification result. However, due to spectral information is very rich, the computation also takes more time. Therefore, if we can construct a decision system to accurately interpreting the surface of ground, it can be applied significantly to reduce manpower and time. This study focused on how to extract the important factors of hyperspectral image to classify the paddy rice area with applying supervised and unsupervised learning algorithm. In this study, back-propagation neural network

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YEN, HAN-TAO, and 顏翰濤. "The Study of Hyperspectral Imaging on Paddy Rice Image Classification through Particle Swarm Optimization with Linear Discriminant Analysis and Bacterial Foraging Optimization." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/hdg4nb.

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碩士<br>嶺東科技大學<br>資訊管理系碩士班<br>104<br>This study focused on how to extract the important from hyperspectral imaging spectral information. The techniques of image classification on paddy fields with supervised and unsupervised learning approaches. In this study, Linear Discriminant Analysis and bacterial foraging optimization for hyperspectral imagery for image classification. The preprocessing of Particle Swarm Optimization is used to extract the important influenced factor, and then design into the following four different case studies: ( a) the original band with Linear Discriminant Analysis (b

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