摘要
论述了耦合神经网络的实例推理技术,实例推理的典型实现框架、基于约束对象的实例检索模型及实例的三级层次组织。并在此基础上综合运用面向对象技术、基于实例推理技术和人工神经元网络模型等先进技术提出耦合神经网络工程用钢的实例检索模型以达到缩小检索范围,提高中标率的目的。
This paper discusses the technology of reasoning based on case of coupling neural network, the typical implemetation framework of reasoning based on case, the cases indexing modelbased on obligatory object and the three levels organization of example. And synthetically make use of the object-oriented technology, the technology of reasoning based on case, the of manual neural network, puts forward a cases indexing model of steel used in coupling neural network project to reduce the area of indexing and increase hit rate.
出处
《机械》
2005年第10期46-48,共3页
Machinery
基金
国家科技攻关(2001BA201A78)资助项目
陕西省科技攻关(2003K03-G20)资助项目
关键词
神经网络
实例推理
约束对象
实例检索模型
neural network
reasoning based on case
obligatory object
cases indexing model