資源簡介
BP神經(jīng)網(wǎng)絡(luò)的權(quán)值采用梯度下降法更新,不僅輸出的精度不高,而且耗費時間較長,基于遺傳算法來更新可以達到更好的效果,該程序可以直接運行,沒有錯誤

代碼片段和文件信息
%讀取數(shù)據(jù)
data=xlsread(‘data.xls‘);
%訓練預測數(shù)據(jù)
data_train=data(1:113:);
data_test=data(118:123:);
input_train=data_train(:1:9)‘;
output_train=data_train(:10)‘;
input_test=data_test(:1:9)‘;
output_test=data_test(:10)‘;
%數(shù)據(jù)歸一化
[inputnmininputmaxinputoutputnminoutputmaxoutput]=premnmx(input_trainoutput_train);?%對p和t進行字標準化預處理?
net=newff(minmax(inputn)[101]{‘tansig‘‘purelin‘}‘trainlm‘);
net.trainParam.epochs=100;
net.trainParam.lr=0.1;
net.trainParam.goal=0.00001;
%net.trainParam.show=NaN
%網(wǎng)絡(luò)訓練
net=train(netinputnoutputn);
%數(shù)據(jù)歸一化
inputn_test?=?tramnmx(input_testmininputmaxinput);
an=sim(netinputn);
test_simu=postmnmx(anminoutputmaxoutput);
error=test_simu-output_train;
plot(error)
k=error./output_train
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-08-11?11:21??chapter3\
?????文件?????????772??2018-08-11?10:23??chapter3\BP.m
?????文件?????????420??2009-08-16?22:48??chapter3\Code.m
?????文件????????1556??2009-08-31?23:41??chapter3\Cross.m
?????文件???????46404??2009-09-18?14:23??chapter3\data.mat
?????文件????????1158??2009-08-31?23:41??chapter3\Decode.m
?????文件????????1025??2018-08-11?11:19??chapter3\fun.m
?????文件????????4638??2018-08-11?11:20??chapter3\Genetic.m
?????文件????????1602??2009-11-12?19:20??chapter3\Mutation.m
?????文件?????????824??2018-08-10?13:28??chapter3\Select.m
?????文件?????????291??2009-08-31?23:41??chapter3\test.m
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