An embedded hybrid neural network and expert system in a computer-aided design system

被引：6
|
作者：
Zakarian, VL
Kaiser, MJ [1 ]
机构：
[1] Wichita State Univ, Dept Ind & Mfg Engn, Wichita, KS 67260 USA
[2] Amer Univ Armenia, Coll Engn, Yerevan 375019, Armenia
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 1999年 / 16卷 / 02期
关键词：
computer-aided design; embedded hybrid neural network; intelligent system;
D O I：
10.1016/S0957-4174(98)00073-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An embedded hybrid neural network and expert system functioning within a computer-aided design (CAD) system is developed to provide expert advice and self-learning for the structural adaptation of a mathematical model of electrical machines. The knowledge based intelligent system is designed to incorporate an optimization search of the design parameters of electric motors, while allowing the potential to develop a custom base of knowledge for application in related areas. The intelligent system is updated through a CAD system execution as well as in a text editor. The neural network component of the system is used to link the units of the expert system, and the network is trained with the gradient descent method. Application of the intelligent system demonstrates its reliability and assistance in the adaptation process. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：233 / 243
页数：11
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