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基于人工神经网络的液压泵工作特性建模 被引量:2

Modeling the Work Character of Hydraulic Pump
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摘要 为了确定液压泵的高效率工作区域,需要做出其工作特性图,传统的作法需要大量的测试数据。本文给出了一种采用人工神经网络建模的方法,运用三层BP网络,只需要少量数据就可以建立液压泵的工作特性模型,输出液压泵的各种工作特性值。 In order to ascertain the high efficiency working area,it needs to draw its work character figure,tradi- tional1y,it must have a great number of testing data. The text offers a kind of way using ANN model,and using the BP networks of 3 layers,only needs a few of data,the model of the work character of hydraulic pump can be made,and exports any kinds of character of hydraulic pump.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2003年第z2期617-618,共2页 Chinese Journal of Scientific Instrument
关键词 液压泵工作特性 BP神经网络 贝叶斯正则化 Character of hydraulic pump BP neural network Bayesian regularization
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同被引文献5

  • 1ISERLMANN R. Model based fault detection and diagnosis methods[C]//Proceedings of the American Control Conference. Seattle, USA, 1996.
  • 2ISERMANN R. On the application of model based fault detection for technical processes [J]. IFAC World Congress, 1993, 9: 195-200.
  • 3ISO/TAG4/WG3.Guide to the expression of uncertainty in measurement[S].Switzerland,1993.
  • 4Chen S,Cowan C F N,Grant P M.Orthogonal least squares learning algorithm for radial basis function networks[J].IEEE Transactions on Neural Networks,1991,2(2):302~309.
  • 5李敏远,都延丽.一类过程控制对象的神经网络建模及仿真[J].系统仿真学报,2003,15(11):1533-1536. 被引量:2

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