The Research of Expert System of Laser Quenching Based on Genetic-Neural Network

Qingwu Fan, Pu Wang, Lianbao Zhang, Jun Li
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引用次数: 1

Abstract

Traditional method about designing blue print in course of surface laser quenching was studied. Expert system of laser quenching based on genetic-neural network was presented. Knowledge acquisition, construction of knowledge base and design of inference engine were introduced in detail. The trial running results show that this research raised an advanced and reasonable path for performance prediction and optimization design of laser quenching
基于遗传神经网络的激光淬火专家系统研究
研究了表面激光淬火过程中图纸设计的传统方法。提出了基于遗传神经网络的激光淬火专家系统。详细介绍了知识获取、知识库的构建和推理机的设计。试运行结果表明,本研究为激光淬火的性能预测和优化设计提供了一条先进、合理的途径
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