NNKBST：神经网络知识库系统支撑环境  

NNKBST: Neural Network Knowledge Base System Supporting Environment

作　　者：杨莉[1,2] 袁弋云 胡守仁[1,2] 

机构地区：[1]浙江大学 [2]国防科大

出　　处：《计算机工程与设计》1994年第1期3-16,共14页Computer Engineering and Design

摘　　要：为了有效地解决知识获取这一瓶颈问题，本文提出用神经网络（ＮＮ：Ｎｅｕｒａｒ　Ｎｅｔｗｏｒｋ）来进行知识获取，以弥补传统归纳学习方法的不足，并以ＮＮ知识获取技术为核心，扩展为ＮＮ知识库系统支撑环境中一些全面技术的研究，包括ＮＮ知识表示和问题求解机制、ＮＮ知识库的推理、维护和求精机制等。In order to solve the bottleneck problem of knowledge acquisition effectively, the paper proposes a method of Neural Network(NN) knowledge acquisition to compensate for the shortcoming of traditional inductive learning. And using NN knowledge acquisition as the core technology, this paper adopts gradually enlarged research method, performing a lot of deep and useful works for knowledge base system supporting environment, including NN knowledge representation and problem solving, the inference,maintenance and refinement of NN knowledge base.

关 键 词：神经网络 知识库 NNKBST 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]