张良杰, 李衍达. 模糊神经网络技术的新近发展[J]. 信息与控制, 1995, 24(1): 39-46.
引用本文: 张良杰, 李衍达. 模糊神经网络技术的新近发展[J]. 信息与控制, 1995, 24(1): 39-46.
ZHANG Liangjie, LI Y. THE RESEARCH PROGRESS ON FUZZYNEURAL NETWORK TECHNOLOGY[J]. INFORMATION AND CONTROL, 1995, 24(1): 39-46.
Citation: ZHANG Liangjie, LI Y. THE RESEARCH PROGRESS ON FUZZYNEURAL NETWORK TECHNOLOGY[J]. INFORMATION AND CONTROL, 1995, 24(1): 39-46.

模糊神经网络技术的新近发展

THE RESEARCH PROGRESS ON FUZZYNEURAL NETWORK TECHNOLOGY

  • 摘要: 本文从模糊系统与神经网络作为自适应模型无关估计器时智能特性的研究,模糊控制器的神经网络实现技术,改善神经网络学习性能的模糊控制技术,面向对象的模糊神经网络开发平台的研究等方面介绍了模糊神经网络技术的研究现状,并针对目前的模糊逻辑、神经网络、子波变换、遗传算法等的集成化技术进行了探讨,并融入了作者关于定性与定量知识有机集成的柔性核理论的基本思想.

     

    Abstract: In this paper,the state of the arts of fuzzy neural network technology is introduced from following points, the research of the characteristics of the fuzzy system and neural network as an estimator unrelated to model,the implementation of fuzzy controller using neural network. the improvement of the learning speed and quality of the neural network by using fuzzy neural network techniques,and the research of thedevelopment desktop by using object-oriented programing technique. At the same time, those new combinative technologies inchding fuzzy logic neural network, wavelet transform,genetic algorithm,and etc.are given. The new idea called Flexible CoreTheory on this subject is involved in this paper.

     

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