摘要
针对专家系统知识获取的"瓶颈问题"和神经网络知识表达的"黑箱结构"问题,提出将专家系统与神经网络技术集成,达到优势互补的目的。利用神经网络优良的自组织、自学习和自适应能力来解决专家系统知识获取的困难。提出了基于神经网络专家系统的结构模型,知识表示方式以及推理机制等。
Aiming at the ＂bottle neck＂ problem in knowledge acquisition of Expert System and the ＂black-box structure＂ in knowledge representation of Artificial Neural Network, this paper proposes to integrate Expert System with Artificial Neural Network, to overcome some limitations of traditional Expert System. It also proposes the architecture model, as well as the knowledge expression way and inference mechanism.
出处
《电脑与电信》
2010年第6期56-57,共2页
Computer & Telecommunication
关键词
专家系统
神经网络
系统集成
知识表示
推理机制
Expert System
Artificial Neural Network
integrated system
knowledge express
inference mechanism
