Stability analysis of discrete hopfield neural networks combined with small ones

  • Authors:
  • Weigen Wu;Jimin Yuan;Jun Li;Qianrong Tan;Xing Yin

  • Affiliations:
  • School of Computer Science and Technology, Pan Zhi Hua University, Panzhihua, China;School of Computer Science and Technology, Pan Zhi Hua University, Panzhihua, China;School of Computer Science and Technology, Pan Zhi Hua University, Panzhihua, China;School of Computer Science and Technology, Pan Zhi Hua University, Panzhihua, China;School of Computer Science and Technology, Pan Zhi Hua University, Panzhihua, China

  • Venue:
  • ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2010

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Abstract

The stability of Discrete Hopfield neural networks (DHNNs) is very important in various applications, but stability analysis of complex DHNNs is difficult However, stability analysis of simple and small DHNNs is easy to obtain In this paper, we study on the stability of DHNNs combined with two small ones that maybe have partially or completely different neurons, and consider the connected weights of different neurons And some new stability conditions of the DHNNs are obtained by studying the stability of small ones Those results provide the guided significance for designing a DHNNs and afford benefit for stability analysis of DHNNs The obtained results provide some theory bases of the application of DHNNs.