摘要
传统的推理方式存在推理效率低和冲突消解问题.提出一种新的解决这一问题的方法.即由正向神经网络推理和反向逻辑推理所组成的混合推理系统.利用种经网络所具有的并行性、可学习性、知识可存储性不但可以解决推理冲突,而且还可以利用并行性提高推理的收敛速度和推理效率.为了说明问题,设计了一个实验系统,经实验取得了较理想的效果,并有实用性.
Traditional inference engine has some problems such as inference inefficient and conflic dispel.This paper advance a new method to solve the above problems. This new inference engine consists offorward neural network inference model and backward logical inference mcdel. That is a mixedinference system. The new method shows better results in the practice. The new inference has functionalcharacteristics.
出处
《沈阳工业大学学报》
EI
CAS
1999年第5期432-434,共3页
Journal of Shenyang University of Technology
关键词
专家系统
神经网络
推理机
expert syrstem
neural network inference engine