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基于模糊神经网络的重介质密度控制 被引量:4

Control of the density of heavy medium based on fuzzy neural network
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摘要 主要介绍了重介质密度在选煤厂生产过程中的工作原理和重要性 ,并且介绍了神经网络和模糊控制的各自优缺点 ,以重介质密度为控制对象 ,设计了一种模糊神经网络 ,能够满足系统控制的实时性和准确性。 In the paper,it mainly introduces the working theory and the importance of density of heavy medium in the producing process of preparation plant.And introduces the advantages and disadvantages of neural network and fuzzy control respectively.Designs a fuzzy neural network to control density of heavy medium.It can meet the veracity and real-time of control system.
作者 穆俊英 孙伟
出处 《煤矿机械》 北大核心 2004年第1期54-55,共2页 Coal Mine Machinery
关键词 模糊控制 神经网络 重介密度 fuzzy control neural network the density of the heavy medium
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  • 1王光玉.基于模糊神经网络的车辆发动机建模和控制[J].佳木斯教育学院学报,2011(1):172-173. 被引量:3
  • 2孟凡芹,王耀才,姜建国,王军威.重介工艺悬浮液密度和液位的多变量模糊控制方法研究[J].中国矿业大学学报,2005,34(2):252-255. 被引量:35
  • 3李盼池,李士勇.基于量子遗传算法的正规模糊神经网络控制器设计[J].系统仿真学报,2007,19(16):3710-3714. 被引量:18
  • 4H Harada .Stability Criteria of Driver-vehicle System and Objective Evaluation of Vehicle Handing Performance[J]. Int. J. of. Vehicle. Design,1997,18(6).
  • 5P Martinet,C Thibaud. Automatic Guided Vehicles: Robust Controller Design in Image Space[J]. Autonomous Robots, 2000 (8).
  • 6李士勇.模糊控制、神经网络和智能控制论[M].哈尔滨:哈尔滨工业大学出版社,1998,254-279.
  • 7Yang Gao. Adaptive intelligent control of MIMO nonlinear systems based on generalized fuzzy neural network[R]. Proceedings of the 2002 International Joint Conference on Neural Network, 2002.
  • 8LI C H, PARK S C. An efficient document classification model using an improved back propagation neural network and singular value decomposition[J]. Expert Systems with Applications, 2009, 36:3 208 - 3 215.
  • 9Li P C, Song K P, Shang F H. Double chains quantum genetic algorithm with application to neuro-fuzzy controller design [J]. Advances in Engineering Softwar, 2011, 42: 875-880.
  • 10Zhao Shuanfeng, Xu Guanghra, Tao Tangfei. et al. Real-coded chaotic quantum-inspired genetic algorithm for training of fuzzy neural networks [J]. Computers and Mathematics with Applications, 2009, 57: 2009-2015.

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