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.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
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
关键词
神经网络
推理
维护
求精
知识库
Neural Networks, Knowledge Unit, Inference, Maintenance and Refinement.