• CN:11-2187/TH
  • ISSN:0577-6686

›› 1996, Vol. 32 ›› Issue (2): 90-94.

• 论文 • 上一篇    下一篇

扫码分享

基于模糊神经网络进行尺寸加工精度智能监控的研究

李晓谦;蒋锡藩;薜秉源   

  1. 上海交通大学
  • 发布日期:1996-03-01

STUDY ON THE INTELLIGENT CONTROL OF WORKPIECE DIMENSION ACCURACY BASED ON FUZZY NEURAL NETWORKS

Li Xiaoqian;Jiang Xifan;Xue Bingyuan   

  1. Shanghai Jiaotong University
  • Published:1996-03-01

摘要: 提出了基于模糊多层感知器神经网络模型的尺寸加工精度在线智能监控新方法,它对于缺乏精确的数学描述或具有时滞、非线性等复杂实际对象,是一种行之有效的技术,并具有及时性和预报性好的特点。描述了多层感知器神经网络的工作原理,阐明了基于人的模糊经验规则实现工件尺寸精度智能监控的三层感知器控制模型和学习算法,并进行了试验仿真。结果表明:方法有效,具有应用前景。

关键词: 加工精度, 模糊集合, 神经网络, 智能控制

Abstract: A new method for on-line intelligent control of workpiece dimension accuracy via fuzzy multilayer perception networks is proposed. With good forecast in time, it is an effective means on the occasions of lack of precise mathematical description or of time delayed and non-linear system. The principle on multilayer perception networks is given, and the three layer perception model and its learning algorithm derived from human knowledge on intelligent control of workpiece dimension accuracy are described. With experimental simulation, the method holds a promise of application.

Key words: Fuzzy sets, Intelligent control, Machining accuracy, Neural networks