Complex number procedure neural networks

  • Authors:
  • Liang Jiuzhen;Han Jianmin

  • Affiliations:
  • College of Information Science & Engineering, Zhejiang Normal University, Jinhua, China;College of Information Science & Engineering, Zhejiang Normal University, Jinhua, China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
  • Year:
  • 2005

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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 model 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.