文件名称:gawnn
介绍说明--下载内容均来自于网络,请自行研究使用
遗传算法优化小波神经网络的源程序:
1.构造的非线性函数: 位于nninit_test.m
2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数)
3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
1.构造的非线性函数: 位于nninit_test.m
2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数)
3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
dhfun.m
dmorlet.m
gabpEval_test.m
gadecod_test.m
GA_Wnn_test.asv
GA_Wnn_test.m
hfun.m
morlet.m
nninit_test.m
readme.txt
sigmoid.m
wnn_test.m
dmorlet.m
gabpEval_test.m
gadecod_test.m
GA_Wnn_test.asv
GA_Wnn_test.m
hfun.m
morlet.m
nninit_test.m
readme.txt
sigmoid.m
wnn_test.m