Modelling The Growth Of Algae
In The  Lagoon Of Venice
With The Artificial Intelligence  Tool GoldHorn

Boris Kompare; Saso Dzeroski; Viljem Krizman

doi:10.2495/WP970771

Modelling The Growth Of Algae In The Lagoon Of Venice With The Artificial Intelligence Tool GoldHorn

Price

Free (open access)

Transaction

WIT Transactions on Ecology and the Environment

Volume

Pages

Published

1997

Size

1,094 kb

Paper DOI

10.2495/WP970771

WIT Press

Author(s)

Boris Kompare, Saso Dzeroski & Viljem Krizman

Abstract

Classical construction of ecological models follows one of the following two approaches: (1) either the measured data are analyzed with a statistical approach and a black-box statistical model is constructed, or (2) the model is deduced from basic (physical, chemical, etc.) principles and the measured data are used to calibrate and validate the model. A combination of the both ways is used very rarely, although it could combine the benefits of both. Machine learning tools (ML), developed within the area of artificial intelligence (AI), are able to analyze a data base (perform data mining), using also some domain (expert) knowledge. As a result, ML tools can automati

Keywords

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Code

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