Neural network design by using taguchi method

S. M. Yang, G. S. Lee

研究成果: Article同行評審

28 引文 斯高帕斯(Scopus)

摘要

One of the major difficulties in neural network applications is the selection of the parameters in network configuration and the coefficients in learning rule for fast convergence. This paper develops a network design by combining the Taguchi method and the back-propagation network with an adaptive learning rate for minimum training time and effective vibration suppression. Analyses and experiments show that the optimal design parameters can be determined in a systematic way thereby avoiding the lengthy trial-and-error.

原文English
頁(從 - 到)560-562
頁數3
期刊Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
121
發行號3
DOIs
出版狀態Published - 1999 九月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 資訊系統
  • 儀器
  • 機械工業
  • 電腦科學應用

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