Expert Systems in Reservoir Management and Planningby Roozbeh Kangari, (A.M.ASCE), Georgia Inst of Technology, Atlanta, GA, USA,
Shahrokh Rouhani, (A.M.ASCE), Georgia Inst of Technology, Atlanta, GA, USA,
Abstract: Recent advances in artificial intelligence techniques have created a mechanism for incorporating empirical knowledge into algorithmic reservoir planning and management models. The authors' approach for the development of a prototype expert system for reservoir operation includes: identification and derivation of factual and empirical rules by interviewing field specialists; formatting the derived expert rules to be used in a knowledge engineering language (shell) program, which leads to a knowledge-based expert system. This expert system can be a valuable research tool for examination and validation of the empirical rules and procedures embedded in any hydroplanning process.
Subject Headings: Expert systems | Systems management | Empirical equations | Reservoirs | Hydrologic models | Information systems | Water resources
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