The research on the GA-based neuro-predictive control strategy for electric discharge machining process

被引：0
|
作者：
Zhang, Y [1 ]
机构：
[1] Zhejiang Univ Sci & Technol, Ind Engn Inst, Hangzhou 310012, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
Electric Discharge Machining; genetic algorithms; predictive control; neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, in accordance with the time-varying and non-linear character in Electric Discharge Machining (EDM) process, a simple single-input single-output system is presented to simulate the EDM process. Based on this, a new type of direct optimizing neuro-predictive control system based on improved genetic algorithms for EDM process is designed. Finally, experimental results show that this system has good self-adaptability and high reliability, which will result in the higher productivity.
引用
收藏
页码：1065 / 1069
页数：5
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