function [delm,auto,MAPE,R2,outputxiuzheng,shicexiuzheng]=delmtrainnew(P_train,T_train,hidden,TF)
disp('ELM-AE无监督训练')
% ELM-AE无监督训练
input_num=size(P_train,1);
for u = 1 : numel(hidden)
    
    fprintf(1,'Pretraining Layer %d with ELM-AE: %d-%d \n',u,input_num,hidden(u));

    autoenc = trainAutoencoder(P_train,hidden(u));
    auto(u)=autoenc;
    xx=predict(auto(u),P_train);
    P_train=xx;   
   

end


% 分类或回归层的监督训练
disp('分类回归层的监督训练')

[weight,IW,BM,TestMAPE,TestR2,Pxiuzheng,Txiuzheng]= top_ELMtrain(P_train,T_train,TF);
MAPE=TestMAPE;
R2=TestR2;
outputxiuzheng=Pxiuzheng;
shicexiuzheng=Txiuzheng;
delm.elmae{1}=(weight);
u=u+1;
delm.elmae{2}=(IW);
u=u+1;
delm.elmae{3}=(BM);