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 :
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