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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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此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序,This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
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基于粒子群算法的PID参数设置。其中程序比较先进。,Particle Swarm Optimization Based on the PID parameters. One of the more advanced procedures.
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埃及人wael korani写的采用粒子群算法（pso）代码调用simulink模型优化pid参数，与大家共享,Wael korani Egyptians wrote using particle swarm optimization (pso) code pid call simulink model optimization parameters, and share
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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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粒子群优化算法。PID控制器的整定，matlab源码。-Tunning of PID controller using Particle Swarm Optimization
Author: Wael Mansour (wael192@yahoo.com)
MSc Student, Electrical Enginering Dept,
Faculty of Engineering Cairo University, Egypt
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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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PSO PID 粒子群优化的最优控制器 用于交通流量控制
PSO PID 粒子群优化的最优控制器 用于交通流量控制-Particle Swarm Optimization PSO PID controller for optimal traffic flow control
Particle Swarm Optimization PSO PID controller for optimal traffic flow control
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基于粒子群算法的PID控制器优化设计，紧供新手学习-PID controller based on particle swarm optimization design
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基于粒子群算法的PID控制器优化，需含simulink，程序可以运行-Based on Particle Swarm Optimization PID controller is required with simulink, the program can run
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基于粒子群算法的PID控制器的设计与研究-Tuning of Digital PID Controller Using Particle Swarm Optimization
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基于粒子群算法的PID控制器优,基于matlab环境的仿真，有助于图形的可视化编程-PID controller based on particle swarm optimization algorithm, matlab simulation environment based on graphical visualization program helps
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pso-pid量子粒子群算法qpso的matlab代码以及pid控制器在matlab中的仿真程序-Pso- pid quantum particle swarm optimization (qpso matlab code and pid controller in matlab simulation program
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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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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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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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