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1、ann如何做预测一个不错的例子%输入向量p=[972812321830310361482021124096353131421021731751617;66291134133011441211812213200434541012093250430583;6130123562011175911172322243554201651242371141592;79281843761596620173011220095255321651432492030563;9438153994131321215102721716243494202071002303720686;10653164417302153
2、181271911032049266328010433125111045;106551821173121431116112911312038310735577152950711410;113751929429232601321526252715202518441317564330271204;11062183018605171181014241618031466245511618457342241224;114932328296092348251536042835164236327912769954881398;15210723485015242942029134017423728418
3、5063133233785307520710]';%目标向量t=[79281843761596620173011220095255321651432492030563;9438153994131321215102721716243494202071002303720686;10653164417302153181271911032049266328010433125111045;106551821173121431116112911312038310735577152950711410;113751929429232601321526252715202518441317564330271
4、204;11062183018605171181014241618031466245511618457342241224;114932328296092348251536042835164236327912769954881398;152107234850152429420291340174237284185063133233785307520710;111124153172140227212207290421727112812564323170325451704;1441162452521214123112814452191805176111441315531367424691667]
5、';%归一化u=t;%%%%%%归一到01之间fori=1:35p(i,:)=(p(i,:)-min(p(i,:)))/(max(p(i,:))-min(p(i,:)));endfori=1:35t(i,:)=(t(i,:)-min(t(i,:)))/(max(t(i,:))-min(t(i,:)));end%训练%%%%%%%%%%threshold的作用是限定输入的范围，因为已经做过归一化，所以输入的范围在01之间%%%%%%%%%%这个范围比输入的范围大是可以的，举个例子，比方说归一化的数据是在[0.120currencydeposit,weprescribeapassonareg
6、ularbasis,qilucardaccountonaregularbasis),certificatebondsandsavingsbonds(electronic);3.notdrawnonabanksavingscertificate,certificatebondsapplyformortgageloans,acceptingonlythelender0.9]之间%%%%%%%%%%范围用[01]是可以的，比归一化后的范围如果小的话，就会出问题threshold=[01;01;01;01;01;01;01;01;01;01;01;01;01;01;01;01;01;01;01;
7、01;01;01;01;01;01;01;01;01;01;01;01;01;01;01;01];net=newff(threshold,[19,35],{'tansig','logsig'},'trainlm');%%%%%%%%%%19隐层数隐层数的确定有几个经验公式，也可以用试算法net.trainParam.epochs=1000;%训练次数net.trainParam.goal=0.001;%训练结束的目标LP.lr=0.
