Title :
On the complex backpropagation algorithm
Author :
Benvenuto, N. ; Piazza, F.
Author_Institution :
Dipartimento di Elettronica ed Inf., Padova Univ., Italy
fDate :
4/1/1992 12:00:00 AM
Abstract :
A recursive algorithm for updating the coefficients of a neural network structure for complex signals is presented. Various complex activation functions are considered and a practical definition is proposed. The method, associated to a mean-square-error criterion, yields the complex form of the conventional backpropagation algorithm
Keywords :
neural nets; signal processing; coefficients updating; complex activation functions; complex backpropagation algorithm; complex signals; mean-square-error criterion; neural network; recursive algorithm; signal processing; Backpropagation algorithms; Equations; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons; Nonlinear filters; Signal processing; Signal processing algorithms; Wiener filter;
Journal_Title :
Signal Processing, IEEE Transactions on
