文件名称:PSObpPpsorbf
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 8.41mb
- 下载次数：
- 0次
- 提 供 者：
- bao****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
粒子群优化神经网络的程序大集合，这是从网站下载的各种程序，基本上包含了所有关于PSO优化神经网络所需要用到的程序及代码。-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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
..............\........................................
..............\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
..............\........................................