Description: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。
-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Platform: |
Size: 2048 |
Author:王刚 |
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Description: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。程序需要调用gaot工具箱.-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Procedures need to call gaot toolbox. Platform: |
Size: 4096 |
Author: |
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Description: This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization algorithms. Certain GA-specific parameters
such as cross-over and mutation functions will not be applicable to the
PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.-This is an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization algorithms. Certain GA-specific parameters
such as cross-over and mutation functions will not be applicable to the
PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox. Platform: |
Size: 4096 |
Author:Chris Leung |
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Description: 《Matlab遗传算法工具箱及应用》源码,含书中部分的算例。方便初学者参考使用。-Matlab genetic algorithm toolbox and its application source code, including the part in the book example.Easy for beginners to use and reference. Platform: |
Size: 34816 |
Author:章丽 |
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Description: 书本《matlab神经网络应用设计》源码，对于利用遗传算法（GA）优化神经网络（NN）的程序部分，由于使用了GA工具箱中已经定义好的一些函数，因此，这部分程序必须拷贝到GA工具箱目录下才能运行，在本书中有:"第12章","第13章",以及"第20.5节"。另外，还包括该书本配套PPT教案。-Book " matlab neural network application design" source for the use of genetic algorithm (GA) optimization neural network (NN) part of the program, the use of GA toolbox already defined some function, so this part of the program must be copied to the GA Toolbox directory to run in this book are: " Chapter 12" , " Chapter 13" and " Section 20.5." In addition, the book also includes the supporting PPT lesson plans. Platform: |
Size: 4115456 |
Author:dream |
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Description: This submission contains
(1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks.
(2) MATLAB code to do Feature Selection Using Genetic Algorithm.
NB:
(i) This code is short BUT it works incredibly well since we employed GA Toolbox.
(ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software.
(iii) Please do cite my publication to give credit to me (if you use this code).
The citation is as follows:
BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236.
Or
BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905.-This submission contains
(1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks.
(2) MATLAB code to do Feature Selection Using Genetic Algorithm.
NB:
(i) This code is short BUT it works incredibly well since we employed GA Toolbox.
(ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software.
(iii) Please do cite my publication to give credit to me (if you use this code).
The citation is as follows:
BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236.
Or
BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4) 889 905. Platform: |
Size: 1434624 |
Author:abdalla |
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Search - GA toolbox code in matlab