clc??????????????????????????
clear?all;?
close?all;

%定義相關(guān)參數(shù)
InputNum=1;??????????????%輸入個數(shù)
OutputNum=1;?????????????%輸出個數(shù)
TrainingSampleNum=9;?????%訓(xùn)練樣本數(shù)量
TestSampleNum=361;???????%測試樣本數(shù)量
HiddenSomaNum=5;?????????%中間層隱節(jié)點數(shù)量
EpochsNum=500;???????????%最多訓(xùn)練次數(shù)????????????????????????????????????
u1=0.57;?????????????????%學(xué)習(xí)速率1
u2=0.17;?????????????????%學(xué)習(xí)速率2

%生成訓(xùn)練樣本和測試樣本
TrainingSample=0:pi/4:2*pi;??????????????
TestSample=0:pi/180:2*pi;????????????
DesiredOutput=sin（TrainingSample）;
DesiredOutput2=sin（TestSample）;
ErrorMatrix=[];??????????%誤差矩陣
OutlayerOut=[];??????????%測試輸出矩陣

%對訓(xùn)練樣本和測試樣本進(jìn)行歸一化處理，區(qū)間為[-11]
[TestSamModips]=mapminmax（TrainingSample）;?????????
[TraingSamModips]=mapminmax（TestSample）;

%生成各層權(quán)值和閾值
Weight1=0.5*rands（HiddenSomaNumInputNum）;???????%隱藏層權(quán)重????
ThresholdValue1=0.5*rands（HiddenSomaNum1）;??????%隱藏層閾值
Weight2=0.5*rands（OutputNumHiddenSomaNum）;??????%輸出層權(quán)重
ThresholdValue2=0.5*rands（OutputNum1）;??????????%輸出層閾值


for?i=1:EpochsNum
????ErrorHistory=[];
????for?j=1:TrainingSampleNum
????????HiddenOutput=logsig（Weight1*TestSamModi（j）+ThresholdValue1）;?????%?隱含層網(wǎng)絡(luò)輸出?
????????OutlayerOut=Weight2*HiddenOut