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Title: neural-network-matlab_m Download
 Description: matlab neural network theory and examples of fine solution matlab source code, including matlab QuickStart, single sensor, linear neural network, BP neural network, radial basis function network, since each chapter organizing competitive neural networks, Stochastic neural network sourceIt is a powerful assistant learning neural network, which contains the library functions matlab toolbox application, there are hand count code.
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Readme.txt
本书源文件
..........\第10章 随机神经网络
..........\...................\example10_1.m
..........\...................\sa_func.m
..........\...................\sa_tsp.m
..........\...................\tsp_len.m
..........\...................\tsp_new_path.m
..........\第11章 用GUI设计神经网络
..........\........................\fit_test.m
..........\........................\pr_test.m
..........\........................\som_test.m
..........\........................\stock1.mat
..........\第13章 神经网络应用实例
..........\.......................\BP神经网络实现图像压缩
..........\.......................\......................\block_divide.m
..........\.......................\......................\bp_imageCompress.m
..........\.......................\......................\bp_imageRecon.m
..........\.......................\......................\comp.mat
..........\.......................\......................\lena.bmp
..........\.......................\......................\re_divide.m
..........\.......................\Elman网络预测上证股市开盘价
..........\.......................\...........................\elman_stock.m
..........\.......................\...........................\elm_stock.mat
..........\.......................\...........................\elm_stockpredict.m
..........\.......................\基于BP网络的个人信贷信用评估
..........\.......................\............................\credit_class.m
..........\.......................\............................\german.data
..........\.......................\............................\german.data-numeric
..........\.......................\基于概率神经网络的手写体数字识别
..........\.......................\................................\digital_pic
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