Abstract
Syntactic pattern recognition-based analyzers (parsers) have been proposed [4,7] as efficient tools for analysis of complex trend functions (patterns) which describe a behaviour of an industrial equipment. In this paper we present the application of the parsers in a real-time diagnostic and control expert system. The expert system has been designed as a sophisticated multi-agent system, where the parsers have been embedded in the agents of pattern recognition-type. The architecture of the agents and their role in the system is discussed in the paper.
Cite
CITATION STYLE
Jurek, J. (2002). Syntactic pattern recognition-based agents for real-time expert systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2296, pp. 161–168). Springer Verlag. https://doi.org/10.1007/3-540-45941-3_17
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