資源簡介
BP神經網絡的整個訓練過程(從數據剔除,平滑處理,歸一化,到構建訓練網絡,反歸一化,你擬合作圖)畢設課題作業,保證可用
代碼片段和文件信息
function?[w1w2]=bp(CB)
x1=C(1:401:10);
y1=C(1:4011);
x2=C(41:541:10);
y2=C(41:5411);
net?=?newff(minmax(x1‘)[81]{‘tansig‘‘purelin‘}‘traingd‘);
net.trainparam.show=100;
net.trainparam.lr=0.05;??????
net.trainparam.goal=0.01;
net.trainparam.epochs=200;
[nettrYE]?=?train(netx1‘y1‘);
y11=sim(netx1‘)
y22=sim(netx2‘)
Y1=y11‘
Y2=y22‘
for?i=1:40
????yn1(i1)=Y1(i1)*std(B(:13))+mean(B(:13));
????end
????for?i=1:14
????yn2(i1)=Y2(i1)*std(B(:13))+mean(B(:13));
????end
ym1=B(1:4013)
ym2=B(41:5413)
s=1:1:40
t=41:1:54
plot(sym1‘g‘syn1‘:k‘tym2‘m‘tyn2‘:b‘);
e1=ym1-yn1;
e2=ym2-yn2;
w1=mse(e1)
w2=mse(e2)????
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????664??2011-05-02?17:33??BP\BP.m
?????文件???????5993??2011-04-23?12:29??BP\data2.m
?????文件???????5371??2011-04-22?12:05??BP\data56.m
?????文件???????5748??2011-04-08?09:26??BP\data60.m
?????文件????????243??2011-04-22?12:02??BP\dataprocess1.m
?????文件????????145??2011-04-22?12:16??BP\dataprocess2.m
?????文件????????151??2011-04-21?10:38??BP\dataprocess3.m
?????目錄??????????0??2011-05-03?11:46??BP
-----------?---------??----------?-----??----
????????????????18315????????????????????8
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