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  • 标题:GROUP OF RECURRENT NEURAL NETWORKS
  • 本地全文:下载
  • 作者:NEERAJ SAHU ; A. K. VERMA
  • 期刊名称:International Journal of Reviews in Computing
  • 印刷版ISSN:2076-3328
  • 电子版ISSN:2076-3336
  • 出版年度:2011
  • 卷号:7
  • 页码:01-08
  • 出版社:Little Lion Scientific Research and Developement
  • 摘要:In this paper we present two models of a three node recurrent neural networks. In the first model a closed recurrent neural network generates a limit cycle. We have shown that the solution given by the system of nonlinear coupled differential equations is bounded and besides trivial equilibrium the network has a unique equilibrium point. The second model describe an open recurrent neural network agreed by the nonlinear coupled differential equations with bounded solution having no closed orbits around the unique equilibrium point
  • 关键词:Equilibrium Point; Limit Cycle; Lyapunov Functionals; Contraction Mapping Principle; Bendixsons Criteria
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