• CN:11-2187/TH
  • ISSN:0577-6686

›› 2000, Vol. 36 ›› Issue (8): 92-94.

• 论文 • 上一篇    下一篇

扫码分享

旋转机组神经网络新信息加权预测模型的研究

徐小力;张森;王信义   

  1. 北京机械工业学院机械工程系;北京理工大学
  • 发布日期:2000-08-15

STUDY ON THE WEIGHTED NEW INFORMATION PREDICTING MODEL OF THE NEURAL NETWORK TO ROTARY SETS

Xu Xiaoli;Zhang Sen;Wang Xinyi   

  1. Beijing Institute of Machinery Industry Beijing Institute of Technology
  • Published:2000-08-15

摘要: 针对当前旋转机组状态预测神经网络对新信息强调不足的问题,分析了原因,改进了BP网络模型,提出了新信息加权神经网络新型预测模型。提供了该预测模型的数学表达式和拓扑结构。取得了令人满意的在线预测的效果。

关键词: 神经网络, 新信息加权, 预测模型

Abstract: The defects of the present predicting models of neural networks that didn’t lay enough stress on the new information for working conditions predicting to rotary sets are analyzed, the BP network model is improved and a new predicting model of the weighted new information predicting model of neural network is put forward. The mathematical expression and the topological construction of the new model are presented. The satisfactory results of the on – line predicting are gained.

Key words: Neural network, Predicting model, Weighted new information

中图分类号: