贝叶斯知识密集CBR系统中不确定情况下的故障诊断

IF 2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
H. Nikpour, A. Aamodt
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引用次数: 4

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault diagnosis under uncertain situations within a Bayesian knowledge-intensive CBR system
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来源期刊
Progress in Artificial Intelligence
Progress in Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
9.70
自引率
0.00%
发文量
18
期刊介绍: This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.
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