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Chemical environmental models using data of uncertain quality

Authors
Journal
International Journal of Man-Machine Studies
0020-7373
Publisher
Elsevier
Publication Date
Volume
36
Issue
2
Identifiers
DOI: 10.1016/0020-7373(92)90021-c

Abstract

Abstract Application of knowledge-based systems to modelling lake acidification is outlined. The approaches taken by our group are described, using expert systems to incorporate human understanding and qualitative reasoning in selection of models of progress of acidity, and to overcome the problems of data noise and scale variations in the spatial and temporal domains.

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