A hybrid expert system and neural network approach to data models : an example of environmental application / D.C.L. Lam, I. Wong, D.A. Swayne and P. Fong.: En13-5/93-151E-PDF

"This paper describes a new approach for developing a decision support system for aquatic environmental applications by using a hybrid combination of expert system and neural network techniques. Expert systems are based on available knowledge usually represented by a rule base. A neural network can be used, under supervised machine learning, to search for more knowledge, particularly to identify new temporal and spatial patterns hitherto not formally found in rule sets. A hybrid system, therefore, can utilize the best of these two methods. By demonstrating with two examples on identifying temporal and spatial data gaps, the importance of screening out irrelevant data is emphasized for building such a hybrid system"--Executive summary.

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Publication information
Department/Agency Canada. Environment Canada.
National Water Research Institute (Canada)
Title A hybrid expert system and neural network approach to data models : an example of environmental application / D.C.L. Lam, I. Wong, D.A. Swayne and P. Fong.
Series title NWRI contribution ; no. 93-151
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Digitized edition from print [produced by Environment and Climate Change Canada].
Includes bibliographical references.
Publishing information Burlington, Ontario : National Water Research Institute = Institut national de recherche sur les eaux, [1993]
Author / Contributor Lam, D. C. L. (David Chung Lap)author.
Wong, Isaac Wai Soon, 1957- author.
Swayne, David A., author.
Fong, P., author.
Description 1 online resource (3 unnumbered pages, 7 pages) : illustrations.
Catalogue number
  • En13-5/93-151E-PDF
Subject terms Environmental sciences
Information systems
Intelligent systems
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