A neural network approach to predict missing environmental data / I.W. Wong, D.C.L. Lam, A. Storey, P. Fong & D.A. Swayne.: En13-5/93-153E-PDF

"We discuss some preliminary results of a neural network approach to predict missing environmental data. One of the main problems in environmental modelling and expert system application is the lack of useful data. The neural network approach will no doubt provide more useful data. It is found that the neural network, when used with proper pre-screening processes, produces satisfactory results. The preprocessing techniques used here are the cluster analysis to filter noisy data and the transformation to align the data in the appropriate range. Design procedures for this application are given and its performance is discussed by means of a sensitivity analysis"--Abstract.

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Publication information
Department/Agency Canada. Environment Canada.
National Water Research Institute (Canada)
Title A neural network approach to predict missing environmental data / I.W. Wong, D.C.L. Lam, A. Storey, P. Fong & D.A. Swayne.
Series title NWRI contribution ; no. 93-153
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 Wong, Isaac Wai Soon, 1957- author.
Lam, D. C. L. (David Chung Lap)author.
Storey, A., author.
Fong, P., author.
Swayne, David A., author.
Description 1 online resource (10 unnumbered pages) : illustration.
Catalogue number
  • En13-5/93-153E-PDF
Subject terms Environmental sciences
Information systems
Intelligent systems
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