摘要
在研究基于神经网络的知识表示和知识获取方法的基础上,利用神经网络的自学习,大规模并行分布式处理等功能,将其应用于方案设计领域,探讨了解决方案设计智能系统中知识获取“瓶颈”的方法。最后以传动方案设计知识自动获取为例说明了此方法的可行性。
In this paper,a neural network based approach for knowledge representation and knowledge acquisition is analyzed.Due to its learning ability and parallel handing ability,neural network is used in the research of product scheme design.This is an approach to deal with the bottleneck of knowledge acquisition in ICAD.At the end of this paper,the method is proved feasible by an application for mechanical drive scheme designing.
出处
《机械工程师》
2003年第1期12-15,共4页
Mechanical Engineer
基金
国家自然科学基金资助项目(50075002)
关键词
BP网络
知识表示
知识获取
方案设计
神经网络
knowledge representation
knowledge acquisition
scheme design
neural network
