神经网络知识库的推理、维护与求精技术  

THE INFERENCE, MAINTENANCE AND REFINEMENT TECHNOLOGY OF NEURAL NETWORK KNOWLEDGE BASE

作　　者：杨莉[1] 何志均[1] 

机构地区：[1]浙江大学CAD&CG国家重点实验室,杭州310027

出　　处：《模式识别与人工智能》1994年第4期293-298,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金;浙江省自然科学基金

摘　　要：本文着重介绍我们在SUN SPARC作站上用C语言开发的神经网络知识库(NNKB)系统支撑环境中NNKB的推理、维护与求精模型,并简单探讨了它们与传统符号知识库维护与求精技术的异同点。The paper mainly introduces the mechanism of inference, maintenance and refinement used in the Neural Network Knowledge Base (NNKB) system supporting environment which has been developed in C language on SUN SPARC workstation, and simply discusses the difference between the maintenance and refinement technology of traditional symbol knowledge base and NNKB's.

关 键 词：神经网络 推理 维护 求精 知识库 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]