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This function calculates Akaike s final prediction error % estimate of the average generalization e

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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. %

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