优选高压注浆机主控参数——应用遗传算法、优化设计和神经网络耦合技术  

Select Main Parameter of High - Pressure Pour - Pulp Casting Machine Based on Genetic Algorithms, Optimum Technology and Neural Networks

作　　者：尹坚[1] 周毓萍[2] 周迪勋[2] 

机构地区：[1]国家建材局咸阳陶瓷研究设计院,712000 [2]武汉工业大学,430070

出　　处：《陶瓷》1998年第6期31-34,共4页Ceramics

摘　　要：论述了遗传算法、优化设计及神经网络的耦合技术,以压力注浆机的主控制参数作为样本,采用这种耦合技术,将实际工程参数转化为遗传进化样本,再通过优化技术变成最优样本,来训练神经网络系统,旨在提高控制参数质量.The combine technology on genetic algorithms optimum technology and neural networks were analysed and presented in this paper. The control main parameters of pressure pour - pulp casting machine was discussed as an example. Using the combine technology the sample of main control parameter was changed to genetic sample. Using the optimum technology again the genetic sample was converted to optimum sample. The neural networks system were learned by the optimum sample. Thus increasing quality of engineering main control parameters was designated.

关 键 词：耦合技术 遗传算法 神经网络 陶瓷 注浆机 高压 

分 类 号：TQ174.622[化学工程—陶瓷工业]