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">></ETX>
相关事件
暂无数据
相关文章
暂无数据