计算机科学 ›› 2010, Vol. 37 ›› Issue (3): 221-224.
• 人工智能 • 上一篇 下一篇
彭珍,杨炳儒,谢永红
出版日期:
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基金资助:
PENG Zhen,YANG Bing-ru,XIE Yong-hong
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摘要: 用于知识发现的启发型协调器能够模拟认知心理学中的“创建意向”,提高机器的认知自主性。为了进一步提高启发型协调器算法的认知特性和运算效果,构造了一种基于规则模糊认知图的启发型协调器算法,该算法用规则模糊认知图表示知识和进行有效推理,发现知识库中的不关联态,进而对海量数据库进行“定向挖掘”。实验证明该方法与有向超图方法相比,缩小了知识发现算法的搜索空间,增强了智能化程度。
关键词: 知识发现,双库协同机制,启发型协调器,规则模糊认知图,可达矩阵,定向挖掘
Abstract: Heuristic coordinator for knowledge discovery could simulate "creating intent" of cognitive psychology feature and enhanced the ability of self-cognition. With the aim to improve the cognitive feature and the performance of heuristic coordinator, the paper proposed one new heuristic coordinator algorithm, which used rule based fuzzy cognitive map to represent knowledge and to be effective inference in order to get non-association state of knowledge base for directional mining shortage knowledge in massive database. And the experiment demonstrates that the approach effective1y reduces the searching space and increases the intelligence of knowledge discovery compared with the directed hypergraph based method.
Key words: Knowledge discovery in database(KDD),Double bases cooperating mechanism, Heuristic coordinator, Rule based fuzzy cognitive map(RI3FCM) ,Accessible matrix,Directional mining
彭珍,杨炳儒,谢永红. 基于RBFCM的启发型协调器算法的研究[J]. 计算机科学, 2010, 37(3): 221-224. https://doi.org/
PENG Zhen,YANG Bing-ru,XIE Yong-hong. Research on RBFCM-based Heuristic Coordination Algorithm[J]. Computer Science, 2010, 37(3): 221-224. https://doi.org/
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