• CN：11-2187/TH
  • ISSN：0577-6686
机械工程学报

›› 2005, Vol. 41 ›› Issue (6): 97-101.

• 论文 • 上一篇    下一篇

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神经网络软测量模型中全共轭梯度算法

王益群;唐勇;姜万录;王宏艳   

  1. 燕山大学机械工程学院;燕山大学信息科学与工程学院
  • 发布日期:2005-06-15

FULL CONJUGATE GRADIENTALGORITHM IN THE NEURAL NETWORK SOFT MEASUREMENT SYSTEM OF DYNAMIC FLOW

Wang Yiquan;Tang Yong;Jiang Wanlu;Wang Hongyan   

  1. Institute of Engineering of Machinery, Yanshan University Institute of Science and Engineering of Information , Yanshan University
  • Published:2005-06-15

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摘要： 将神经网络运用到动态流量的软测量中，探索解决液压伺服系统中对瞬时动态流量的测试问题是该领域的一个难点和热点问题，详细论证了一种新的BP神经网络算法——全共轭梯度算法及其改进，最后通过试验验证了该算法的性能。该项研究对BP神经网络具有广泛的参考价值。

关键词: 动态流量, 全共轭梯度算法, 三层感知机, 神经网络, 学习因子

Abstract: To solve the measurement of dynamic flow in hydra- ulic pressure servo systems by applying neural network is an important and difficult work in the field. A new BP algorithm, full conjugate gradient algorithm, is discussed in detail. Its betterment was presented, too. Its capabilities are validated by experimentations finally. The work has extensive referenced value for BP neural network.

Key words: Dynamic flow, Full conjugate gradient algorithm, Learning factor, Neural network, Three layer perception

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