摘要
阐述了将神经网络和模式知识引入智能设计系统的模型——集成转换模型 .在该模型中 ,对智能系统与设计的实现系统的结合进行了探讨 .提出了数值编译器与反编译器、图形
Experience is an important source of knowledge for intelligent computer aided design. In this paper, an approach of effectively making use of process experience is proposed. A group of feature based code numbers is assigned to each sheet metal part. This number is sent to an Artificial Neural Network(ANN) that has been trained by forming process samples. The experience of part forming process has been gathered into sample library, so the ANN (BP network) trained by it will learn the knowledge of sheet metal forming. When a new group of feature code numbers of a part is sent to this ANN, it will map generate the feasible forming process. The weight matrix of the trained ANN is called pattern knowledge. Consisted of ANN subsystem, process parameter calculation subsystem and a feature based part modeling subsystem, a framework of intelligent system has been built up to work out the sheet metal part forming process.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2001年第9期834-839,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家"九.五"重点科技项目攻关计划 (96-A0 1-0 1-11)资助
关键词
人工神经网络
模式化知识
智能设计系统
工程设计
CAD
intelligent design, artificial neural network, pattern knowledge, artificial intelligence, CAD