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人工神经网络、模糊系统和演化计算的结合 被引量:2

The Combination of Artificial Neural Networks,Fuzzy Systems and Evolutionary Computation
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摘要 分析了由人工神经网络、模糊系统和演化计算这三种智能模拟方法相互结合而形成的杂合系统的特点 ,讨论了其中的几种结合形式 。 Artificial neural networks, fuzzy systems and evolutionary computation are three methods in intelligent simulation. They have realized the simulation of human intelligence from different aspects. This paper gives a careful elaboration of the features of hybrid systems through the combination of the above mentioned intelligent simulation methods. It also discusses the forms of combination and displays the methods to realize the combination.
作者 王江晴
出处 《武汉理工大学学报(交通科学与工程版)》 北大核心 2002年第3期331-333,共3页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家民委自然科学基金资助项目 (批准号 :982 0 0 2 )
关键词 杂合系统 模糊系统 人工神经网络 演化计算 模糊控制器 智能模拟 hybrid systems artificial neural networks evolutionary computation fuzzy controllers
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参考文献7

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同被引文献5

  • 1郑明辉,杨松林,王志东.一种采用模糊控制的舵减摇系统的仿真研究[J].船电技术,1997,17(1):17-20. 被引量:10
  • 2Li Qunming, Zhang Shilian, Wang Chengen et al. A reconfigurable paradigm of supply Chain management. In:Mechanical Engineering Society. Proceedings of 27th International Conference on Computers & Industrial Engineering. Beijing: China machinepress, 2000. 195.
  • 3Liang Hao, Wu Zhou, Wu Qidi. Supply chain management decision support system. In:Mechanical Engineering Society. Proceedings of 27th International Conference on Computers & Industrial Engineering.Beijing: China machine press, 2000. 19.
  • 4Gu Yong, Dong Mingwang. The core competence and cost control of third-party logistics corporation. Proceedings of the 4th International Conference on Material Handling & Logistics Systems. Wuhan: China Railway Publishing House, 2002. 269~272.
  • 5刘刚.基于模糊理论的港口起重机金属结构的劣化指数与状态评价[A].见严新平主编.中国交通研究与探索[C].北京:人民交通出版社,1999.464~468.

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