Letter: A method to improve the transiently chaotic neural network

  • Authors:
  • Xinshun Xu;Zheng Tang;Jiahai Wang

  • Affiliations:
  • Faculty of Engineering, Toyama University, Toyama-shi 930-8555, Japan;Faculty of Engineering, Toyama University, Toyama-shi 930-8555, Japan;Faculty of Engineering, Toyama University, Toyama-shi 930-8555, Japan

  • Venue:
  • Neurocomputing
  • Year:
  • 2005

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Abstract

Studies on learning problems from geometry perspective have attracted an ever increasing attention in machine learning, leaded by achievements on information geometry. This paper proposes a different geometrical learning from the perspective of high-dimensional ...