张凯, 钱锋, 刘漫丹. 模糊神经网络技术综述[J]. 信息与控制, 2003, 32(5): 431-435.
引用本文: 张凯, 钱锋, 刘漫丹. 模糊神经网络技术综述[J]. 信息与控制, 2003, 32(5): 431-435.
ZHANG Kai, QIAN Feng, LIU Man-dan. A SURVEY ON FUZZY NEURAL NETWORK TECHNOLOGY[J]. INFORMATION AND CONTROL, 2003, 32(5): 431-435.
Citation: ZHANG Kai, QIAN Feng, LIU Man-dan. A SURVEY ON FUZZY NEURAL NETWORK TECHNOLOGY[J]. INFORMATION AND CONTROL, 2003, 32(5): 431-435.

模糊神经网络技术综述

A SURVEY ON FUZZY NEURAL NETWORK TECHNOLOGY

  • 摘要: 首先讨论了模糊神经网络协作体的产生和优越性,随后将模糊神经网络划分为狭义模糊神经网络、用模糊逻辑增强网络功能的神经网络和神经模糊系统,并分别介绍了各自的网络结构和学习算法,最后介绍了模糊神经网络的工业应用.

     

    Abstract: The emergence and superiority of fuzzy neuro synergy is discussed firstly. The fuzzy neural networks can be divided into three types:narrow sense fuzzy neural networks, neural networks enhanced by fuzzy logic, and neural fuzzy network systems. The network structure and learning algorithm of the three types are introduced, and the industrial applications are also recommended.

     

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