A new parameter control method for S-GCM

  • Authors:
  • Liying Zheng;Xianglong Tang

  • Affiliations:
  • School of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Heilongjiang 150001, Harbin, China and School of Computer Science and Technology, Harbin Engineering U ...;School of Computer Science and Technology, Harbin Institute of Technology, 92 Xidazhi Street, Heilongjiang 150001, Harbin, China

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2005
  • A new learning method for S-GCM

    AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence

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Abstract

Ishii et al.'s model, which is an improvement version of Kaneko's globally coupled map model, is called globally coupled map using the symmetric map (S-GCM). A new parameter control method for S-GCM is proposed in this paper. With the proposed method, the changes of the parameters are decided not only by the value of system partial energy, but also by the difference value of the partial energy. Both the theory analyses and computer simulation results show that the performance of S-GCM can be improved greatly by using the new parameter control method.