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Cite or link to this item using this URL: http://hdl.handle.net/10182/1992

Title: Expert system for flood management in Lake Manapouri
Author: Samarasinghe, Sandhya
McKinnon, Alan E.
Bright, John C.
Date: Nov-1993
Publisher: IEEE Computer Society
Citation: Samarasinghe, S., McKinnon, A., & Bright, J. (1993). Expert system for flood management in Lake Manapouri. In N. K. Kasabov (Ed.), 1993 the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, November 24-26, 1993, Dunedin, New Zealand: Proceedings (pp. 266-269). Los Alamitos, CA: IEEE Computer Society Press.
Item Type: Conference Contribution - Paper in Published Proceedings
Abstract: Flood water in Lake Manapouri is released according to strictly formulated flood rules. The Real-time Flood Assistant is an expert system which incorporates Lake Manapouri flood rules and the experience of the control room operators at Transpower NZ Ltd. to assist them in the release of flood water. The expert system is being developed in Level5 Object. The program is mainly an event-driven system based on forward chaining inferencing in conjunction with object-oriented methods. Backward chaining inferencing is used only at the beginning of the program to establish initial data. With the use of built-in clocks, the expert system runs in real-time, assisting the operators with the release decisions which are made about every 1½ hours.
Persistent URL (URI): http://hdl.handle.net/10182/1992
Related: Originally published online at IEEE Xplore.
Related URI: http://dx.doi.org/10.1109/ANNES.1993.323005
ISBN: 0-8186-4260-2
DOI: 10.1109/ANNES.1993.323005
Rights: © 1993 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Appears in Collections:Department of Environmental Management

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