where μk is the step between output layer and hidden layer. iterative formula of the hidden layer

The weight between the kth node in the hidden layer and the lth node in the input layer is wlk(n) in the complex feed-forward neural network. The iteration formula is


J(n)wlk(n)=2[ | f˜(n) |2R2 ]| f˜(n) |[ | f˜(n) |wlk,R(n)+| f˜(n) |wlk,I(n) ](8.59)

According to eqs. (8.47) and (8.53),


vR(n)wlk,R(n)=wk,R(n)q[ u

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