Expert Pattern Recognition for Pollution Source Identification

by Bithin Datta, (A.M.ASCE), Univ of California, Davis, CA, USA,
Richard C. Peralta, (A.M.ASCE), Univ of California, Davis, CA, USA,



Document Type: Proceeding Paper

Part of: Water Forum '86: World Water Issues in Evolution

Abstract:

This paper presents an approach for developing an Expert System to aid the identification of locations and magnitudes of a finite number of groundwater pollution sources. A pattern recognition algorithm is used as a secondary knowledge base. The finite sequential recognition algorithm is accessed from within the knowledge base. The expected risk in the pattern classification decision and a heuristic confidence threshold is compared to decide on the acceptability of the source identification.

Subject Headings: Groundwater pollution | Algorithms | Water pollution | Automatic identification systems | Expert systems | Knowledge-based systems | Artificial intelligence (AI)

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