This function calculates Akaike s final prediction error
％ estimate of the average generalization error.
％
％ [FPE,deff,varest,H] = FPE(NetDef,W1,W2,PHI,Y,trparms) produces the
％ final prediction error estimate (FPE), the effective number of
％ weights in the network if the network has been trained with
％ weight decay, an estimate of the noise variance, and the Gauss-Newton
％ Hessian.
％
標簽：
generalization
calculates
prediction
function
上傳時間：
2014-12-03
上傳用戶：maizezhen
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
％
％ [FPE,deff,varest,H] = nnFPE(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat)
％ produces the final prediction error estimate (FPE), the effective number
％ of weights in the network if it has been trained with weight decay,
％ an estimate of the noise variance, and the Gauss-Newton Hessian.
％
標簽：
generalization
calculates
prediction
function
上傳時間：
2016-12-27
上傳用戶：腳趾頭
