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Description: 用粒子群算法来优化RBF神经网络权值，使神经网络有更好的非线性函数逼近能力-Using particle swarm optimization to optimize the RBF neural network weights, so that neural network has better ability of nonlinear function approximation
Platform: |
Size: 3072 |
Author: 史峰 |
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Description: psotoolbox
Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
PLEASE CHECK http://psotoolbox.sourceforge.net FOR UPDATES
Platform: |
Size: 54272 |
Author: rezaii |
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Description: 关于pso算法的一篇文章，老外写的，介绍将如何pso算法应用到文档聚类中-Pso algorithm on an article written by a foreigner on pso algorithm will be applied to document clustering
Platform: |
Size: 31744 |
Author: 刘勇 |
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Description: pso algorithme
NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
Platform: |
Size: 3072 |
Author: mlaouhi |
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Description: NOTE: THIS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.-NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
Platform: |
Size: 1024 |
Author: mlaouhi |
Hits:
Description: NOTE: THIS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.-NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
Platform: |
Size: 3072 |
Author: mlaouhi |
Hits:
Description: NOTE: THIS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.-NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
Platform: |
Size: 1024 |
Author: mlaouhi |
Hits:
Description: NOTE: THIS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.-NOTE: THIS IS AN ALPHA RELEASE. FOR TESTING ONLY.
1. Installation:
-Unzip and copy the files to a folder (directory).
-Add the path to Matlab. (File>Set Path>Add with Subfolders)
-Read help for get_psoOptions.m and pso.m (enter help get_psoOptions at command line)
-Run PSO for u r system.
Platform: |
Size: 43008 |
Author: mlaouhi |
Hits:
Description: PSOMATLAB
Department of Computer Science, Sun Yat-sen University,
No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.-Department of Computer Science, Sun Yat-sen University,
No.135, Xingang West Road, Guangzhou 510275, P.R. China.This is a problem about pso to matlab.
Platform: |
Size: 2048 |
Author: 刘明 |
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Description: 以优化SVR算法的参数c和g为例，对DE（差分进化）算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshev polynomials. DE algorithm is also an intelligent optimization algorithm, which is similar to the previous heuristic algorithm, such as ABC, PSO, etc., which is a heuristic optimization algorithm. The DE algorithm is an optimization algorithm that I used in solving the case study of box coverage.)
Platform: |
Size: 5120 |
Author: mercy认真的雪
|
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