MATLAB neural network analysis of 30 cases, the book' s source code. . Explained in detail

MATLAB神经网络30个案例分析\源程序\案例30 神经网络GUI的实现--基于GUI的神经网络拟合.txt
..........................\......\....9 离散Hopfield神经网络的联想记忆—数字识别\chapter9.m
..........................\......\..............................................\data0.mat
..........................\......\..............................................\data1.mat
..........................\......\..............................................\data1_noisy.mat
..........................\......\..............................................\data2.mat
..........................\......\..............................................\data2_noisy.mat
..........................\......\..............................................\data3.mat
..........................\......\..............................................\data4.mat
..........................\......\..............................................\data5.mat
..........................\......\..............................................\data6.mat
..........................\......\..............................................\data7.mat
..........................\......\..............................................\data8.mat
..........................\......\..............................................\data9.mat
..........................\......\..............................................\waiji.m
..........................\......\....8 GRNN的数据预测-基于广义回归神经网络货运量预测\best.mat
..........................\......\...................................................\chapter8.1.m
..........................\......\...................................................\chapter8.2.asv
..........................\......\...................................................\chapter8.2.m
..........................\......\...................................................\data.mat
..........................\......\...................................................\运行提示.txt
..........................\......\....7 RBF网络的回归-非线性函数回归的实现\chapter7_1.m
..........................\......\........................................\chapter7_2.m
..........................\......\........................................\运行提示.txt
..........................\......\....6 PID神经元网络解耦控制算法_多变量系统控制\draw.m
..........................\......\..............................................\fun.m
..........................\......\..............................................\MPID.m
..........................\......\..............................................\MPIDCS.m
..........................\......\..............................................\MPIDDLX.m
..........................\......\..............................................\pso.m
..........................\......\....5 基于BP_Adaboost的强分类器设计-公司财务预警建模\Bp_Ada_Fore.m
..........................\......\....................................................\Bp_Ada_Sort.m
..........................\......\....................................................\data.mat
..........................\......\....................................................\data1.mat
..........................\......\....4 神经网络遗传算法函数极值寻优-非线性函数极值\BP.m
..........................\......\.................................................\Code.m
..........................\......\.................................................\Cross.m
..........................\......\.................................................\data.m
..........................\......\.................................................\data.mat
..........................\......\.................................................\fun.m
..........................\......\.................................................\Genetic.m
..........................\......\.................................................\Mutation.m
..........................\......\.................................................\net.mat
..........................\......\.................................................\Select.m
..........................\

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