华南理工大学学报(自然科学版) ›› 2004, Vol. 32 ›› Issue (9): 17-22.

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基于自组织模糊神经网络的市场占有率模型

尹钢 邓飞其 叶其革   

  1. 华南理工大学 自动化科学与工程学院‚广东 广州510640
  • 收稿日期:2003-11-13 出版日期:2004-09-20 发布日期:2015-09-09
  • 通信作者: 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
  • 作者简介: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.
  • 基金资助:
     广东省自然科学基金资助项目(011629)

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.

摘要: 针对现有市场占有率模型(如传统的统计方法和近年来出现的模糊模型与神经网络模型)实际预测效果并不理想的问题‚结合模糊神经网络和自组织理论建立了基于自组织模糊神经网络的市场占有率预测模型.该模型无需事先确定模糊控制规则‚并能通过神经网络的结构及参数学习调整模糊神经网络的结构.最后结合实例进行了仿真‚结果显示该模型优于其它模型‚能为企业提供有力的市场占有率定量分析工具.

关键词: 自组织, 模糊神经网络, 市场占有率

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