Description: In this paper, the BP neural network nonlinear system modeling- nonlinear fitting function, genetic algorithm to optimize BP neural network- non-linear function fitting.
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案例1 BP神经网络的数据分类-语音特征信号分类
...........................................\BP.m
...........................................\BPDLX.m
...........................................\data1.mat
...........................................\data2.mat
...........................................\data3.mat
...........................................\data4.mat
案例2 BP神经网络的非线性系统建模-非线性函数拟合
...............................................\BP.m
...............................................\BP_Hidden.m
...............................................\data.mat
案例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
案例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
案例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
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