30 case studies of the MATLAB Neural Network __ readers call the case, as long as the data in the case replaced by the data they need to be addressed, you can achieve your desired network. A total of 30 MATLAB neural network case (including running the program) in the book, including BP, RBF, SVM, the SOM, Hopfield, on LVQ, Elman, wavelet neural network also contains the PSO (Particle Swarm), gray neural network, fuzzy networks, probabilistic neural networks, genetic algorithms optimization.

MATLAB神经网络30个案例分析_MATLAB中文论坛_2010_P286.pdf
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
......\.................................................\test.asv
......\.................................................\test.m
......\....3 遗传算法优化BP神经网络-非线性函数拟合\BP.m
......\...........................................\Code.m
......\...........................................\Cross.m
......\...........................................\data.mat
......\...........................................\Decode.m
......\...........................................\fun.m
......\...........................................\Genetic.m
......\...........................................\Mutation.m
......\...........................................\Select.m
......\...........................................\test.m
......\....29 kohonen网络的聚类算法—网络入侵聚类\data.mat
......\..........................................\Kohonen.m
......\..........................................\SKohonen.m
......\.....8 灰色神经网络的预测算法—订单需求预测\data.mat
......\...........................................\Greynet.m
......\.....7 遗传算法的优化计算——建模自变量降维\data.mat
......\...........................................\de_code.m
......\.........

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