DocumentCode
724047
Title
An optimization design of knowledge reasoning machine based on the binary tree
Author
Wang Cheng Yun ; Wu Shan Ming ; Chen Chu Xiang ; Zhou Chun Hua
Author_Institution
Coll. of Sci. Inf. Eng., Zhengzhou Univ., Zhengzhou, China
fYear
2015
fDate
23-25 May 2015
Firstpage
1388
Lastpage
1391
Abstract
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.
Keywords
expert systems; inference mechanisms; trees (mathematics); binary tree; expert system quality; knowledge reasoning machine; knowledge storage; logical structure; optimization design; production expert system; storage structure; Algorithm design and analysis; Binary trees; Cognition; Electronic mail; Expert systems; Knowledge engineering; Optimization; Binary tree; Depth search; Recursive function;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162135
Filename
7162135
Link To Document