Complex number procedure neural networks

Abstract

This paper deals complex number procedure neural networks and its learning algorithm. The conception and mathematic description of complex number procedure neurons are proposed based on traditional complex number neuron and procedure neuron. Feed-forward complex number neural networks models are considered. Grads-descent learning algorithm is deduced according to the supervising learning, and its learning procedure consists of two parallel procedures, the real part and imaginary part. An application example is given which show that the complex procedure neural network is suitable for signal processing problem. © Springer-Verlag Berlin Heidelberg 2005.