An Optimization Design of Knowledge Reasoning Machine Based on the Binary Tree

被引：0

作者：

Wang Yun Cheng ^{[1
]}

Wu Shan Ming ^{[1
]}

Chen Chu Xiang ^{[1
]}

Zhou Chun Hua ^{[1
]}

机构：

[1] Informat Engn Univ, Coll Sci, Zhengzhou 450001, Peoples R China

来源：

2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年

关键词：

Binary tree; Recursive function; Depth search;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Reasoning machine is the core of production expert system, and the design of reasoning machine will largely influence the quality of expert system. This paper proposes a new algorithm, which converts knowledge tree into a binary tree, The algorithm will simplify the storage structure and the logical structure of knowledge tree, therefore, it will reduce the pretreatment of the work before the tree of knowledge storage, and prove the feasibility of the algorithm through simulation.

引用

页码：1388 / 1391

页数：4