On the complex backpropagation algorithm 论文

1992IEEE Transactions on Signal Processing引用 318
Neural Networks and ApplicationsBlind Source Separation TechniquesControl Systems and Identification

摘要

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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