Generalization and property analysis of GENET

  • Authors:

  • Youmei Li;Zongben Xu;Feilong Cao

  • Affiliations:

  • Department of Computer Science, Shaoxing College of Arts and Sciences, Shaoxing, China;Institute for Information and System Sciences, Faculty of Science, Xi'an Jiaotong University, Xi'an, Shaan'xi, China;Department of Information and Mathematics Sciences, College of Science, China Jiliang University, Hangzhou, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2005

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Abstract

GENET model has attracted much attention for its special feature in solving constraint satisfaction problems. However, the parameter setting problems have not been discussed in detail. In this paper, the convergent behavior of GENET is thoroughly analyzed and its learning strategy is generalized. The obtained results can shed light on choosing parameter values and exploiting problem specific information.