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标准BP神经网络算法程序：动量BP算法程序：％ 调用 TRAINGDX 算法训练 BP 网络
粒子群优化神经网络源程序,The standard BP neural network algorithm procedure: momentum BP algorithm procedure: TRAINGDX called BP network training algorithm particle swarm optimization neural network source code
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运用粒子群优化算法对PID控制器进行优化设计，通过matlab实现-The use of particle swarm optimization algorithm to optimize the design of PID controller, through matlab to achieve
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PID类的仿生算法文章。有遗传算法、粒子群算法、细菌觅食算法、鱼群算法。-PID class bionic algorithm article. A genetic algorithm, particle swarm optimization, bacteria foraging algorithm, fish algorithm.
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使用基本粒子群算法整定的PID控制，供学习者参考。-The use of elementary particle swarm optimization algorithm-tuning PID control for the learner information.
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i need the matlab coding for pid controller using particle swarm optimization
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除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to ant colony algorithm can be used to optimize the PID parameters there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle swarm
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基于改进粒子群算法整定的PID网络流量控制研究-Particle swarm optimization based on improved PID tuning of network traffic control
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Tunning of PID controller using Bacterial Foraging Orientec by Particle swarm optimization
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研究基于粒子群算法控制系统PID参数优化设计方法以及对PID控制的改进。- study the optimal design of PID parameter of the control system based on Particle Swarm Optimization and find a way to improve the PID control.
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This paper present a new method to determine the
optimal tuning of the PID controller parameter of an AVR
system using Modified particle swarm optimization (MPSO)
algorithm-This paper present a new method to determine the
optimal tuning o
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PID performance optimization using particle swarm optimization method .pdf
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PSO粒子群优化的PID参数，通过matlab平台C语言来编写，达到优化控制的目的(PSO particle swarm optimization PID parameters, through the MATLAB platform C language to write, to achieve the purpose of optimization control)
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chapter15基于混合粒子群算法的TSP搜索算法(A TSP Search Algorithm Based on Hybrid Particle Swarm Optimization)
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pso-pid matlab程序，实现粒子群法自适应调节(Pso-pid matlab program to realize adaptive adjustment of particle swarm optimization)
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该程序为微粒群算法与遗传算法求解pid参数整定MATLAB程序，优化结果包含参数输出与参数曲线变化图。(The program solves the PID parameter tuning MATLAB program for particle swarm optimization and genetic algorithm, and the optimization results include parameter output and parameter curve change dia
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粒子群算法优化PID参数实例+matlab代码学习研究(Optimization of PID parameters by particle swarm optimization)
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利用标准粒子群算法优化PID参数，用以控制直流电机模型(The standard particle swarm optimization (PSO) algorithm is used to optimize the PID parameters to control the DC motor model)
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基于粒子群算法和遗传算法的PID参数优化程序和相应文档(The Optimization of PID Parameters Based on Particle Swarm Optimization and Genetic Algorithm)
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利用粒子群算法对PID参数进行优化，有利于初学者的学习和参考。(Using particle swarm optimization to optimize the parameters of PID is beneficial to beginners'learning and reference)
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粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)
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