Journal of South China University of Technology(Natural Science Edition) ›› 2004, Vol. 32 ›› Issue (9): 17-22.

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A Market Share Model Based on the Self-organized Fuzzy Neural Networks

Yin Gang Deng Fei- qi Ye Qi- ge   

  1. College of Automation Science&Engineering‚South China Univ.of Tech.‚Guangzhou510640‚Guangdong‚China
  • Received:2003-11-13 Online:2004-09-20 Published:2015-09-09
  • Contact: 尹钢(1971-)‚男‚博士生‚广东工业大学讲师‚主要从事信息技术和系统工程方面的研究. E-mail:scuty- ing@21cn.com
  • About author:尹钢(1971-)‚男‚博士生‚广东工业大学讲师‚主要从事信息技术和系统工程方面的研究.

Abstract: Aiming at the unperfect forecast results obtained by the existing market share models‚such as the tradition-al statistical methods and the fuzzy models or neural network models appeared in recent years‚a market share predict -ing model based on the self -organized fuzzy neural network was presented according to the fuzzy neural networks and the theory of self -organization.By using this model‚people need not select any fuzzy logic in advance‚and can adjust the network structure by the structure and parameter learning of the neural network.A simulation for the proposed model was finally carried out with an example.The results show that the proposed model is better than other existing models‚and is a powerful quantitative tool to analyze the market share for enterprises.

Key words: self -organization, fuzzy neural network, market share