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

Abstract

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

Li Xiaoqian;Jiang Xifan;Xue Bingyuan. STUDY ON THE INTELLIGENT CONTROL OF WORKPIECE DIMENSION ACCURACY BASED ON FUZZY NEURAL NETWORKS[J]. , 1996, 32(2): 90-94.

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http://www.cjmenet.com.cn/EN/Y1996/V32/I2/90

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

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