Title:
Extreme-nonlinear-function
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Description: With the function input and output data to train BP neural network, so that the trained network is capable of fitting nonlinear function of the output, save the trained network is used to calculate the value of individual fitness. According to the nonlinear functional equations randomly get this function up to 4000 input and output data, stored in the data, where the input as a function of the input data, output as a function of the corresponding output data from 3900 randomly selected set of training data to train the network, 100 sets of test data test Fitting network performance. Finally, save the trained network.
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File list (Check if you may need any files):
Extreme nonlinear function\BP.m
..........................\Code.m
..........................\Cross.m
..........................\data.m
..........................\data.mat
..........................\fun.m
..........................\Genetic.m
..........................\Mutation.m
..........................\net.mat
..........................\Select.m
..........................\test.asv
..........................\test.m
Extreme nonlinear function
