Description: Particle swarm optimization neural network procedure for large collections, it is downloaded from the website of the various procedures, basically contains all of the PSO neural network optimization procedures are needed and the code.
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粒子群程序集合\866867259psobp\psobp.m
..............\pso(粒子群算法）优化神经网络\使用帮助：新手必看.htm
..............\............................\粒子群算法（PSO）应用于神经网络优化[matlab]\PSOt\A Particle Swarm Optimization (PSO) Primer.pdf
..............\............................\...........................................\....\DemoTrainPSO.m
..............\............................\...........................................\....\f6.m
..............\............................\...........................................\....\goplotpso.m
..............\............................\...........................................\....\hypara.m
..............\............................\...........................................\....\hypara2.m
..............\............................\...........................................\....\normalize.m
..............\............................\...........................................\....\Particle Swarm Optimization Matlab Toolbox 1_conformat_.pdf
..............\............................\...........................................\....\pso.m
..............\............................\...........................................\....\ReadME.txt
..............\............................\...........................................\....\tpso1.m
..............\............................\...........................................\....\tpso2.m
..............\............................\...........................................\....\tpso3.m
..............\............................\...........................................\....\trainpso.m
..............\............................\...........................................\....\unwrapmat.m
..............\............................\...........................................\....\wrapmat.m
..............\............................(1)\使用帮助：新手必看.htm
..............\...............................\粒子群算法（PSO）应用于神经网络优化[matlab]\PSOt\A Particle Swarm Optimization (PSO) Primer.pdf
..............\...............................\...........................................\....\DemoTrainPSO.m
..............\...............................\...........................................\....\f6.m
..............\...............................\...........................................\....\goplotpso.m
..............\...............................\...........................................\....\hypara.m
..............\...............................\...........................................\....\hypara2.m
..............\...............................\...........................................\....\normalize.m
..............\...............................\...........................................\....\Particle Swarm Optimization Matlab Toolbox 1_conformat_.pdf
..............\...............................\...........................................\....\pso.m
..............\...............................\...........................................\....\ReadME.txt
..............\...............................\...........................................\....\tpso1.m
..............\...............................\...........................................\....\tpso2.m
..............\...............................\...........................................\....\tpso3.m
..............\...............................\...........................................\....\trainpso.m
..............\...............................\...........................................\....\unwrapmat.m
..............\...............................\...........................................\....\wrapmat.m
..............\基于粒子群和BP神经网络的混合优化策略算法。将改进PSO算法与BP神经网络结合，用PSO算法取代梯度下降法来优化神经网络的连接权值和阈值。程序简单易懂\PSO_BP\Debug\PSO.exe
..............\............................................................................................................................................\......\.....\PSO.obj
..............\........................................
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