資源簡介
BP神經網絡有良好的魯棒性,在模型擬合,預測方面都能起到理想的效果,是建模的的熱門方法。

代碼片段和文件信息
function?Desired=PreDection()
inputpre=[733907?780941?840256?894914?940387?983860?976536?976004?990444?1038813;780941?840256?894914?940387?983860?976536?976004?990444?1038813?1056312;840256?894914?940387?983860?976536?976004?990444?1038813?1056312?1116324]?;
input=TransInput(inputpre);
disiredpre=[?894914?940387?983860?976536?976004?990444?1038813?1056312?1116324];
desired=TransInput(disiredpre);
net=newff(minmax(input)[31]{‘tansig‘‘purelin‘}‘trainlm‘);
net.trainParam.show?=?5;
net.trainParam.epochs?=?300;
net.trainParam.goal?=?1e-5;
[nettr]=train(netinputdesired);
a=sim(netp);
save?zbd?desired?desered;
save?zbd?input?input;
save?zbd?ouput?a;
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????674??2004-11-22?22:19??基于bp神經網絡的貨運量預測matlab實現\matlabprediction.m
?????文件?????????63??2004-11-22?22:19??基于bp神經網絡的貨運量預測matlab實現\TestError.m
?????文件????????102??2004-11-22?22:19??基于bp神經網絡的貨運量預測matlab實現\TransInput.m
?????文件????????107??2004-11-22?22:19??基于bp神經網絡的貨運量預測matlab實現\TransOutput.m
?????目錄??????????0??2005-09-20?08:29??基于bp神經網絡的貨運量預測matlab實現
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??????????????????946????????????????????5
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