Identification Of The Lake Of Bled Ecosystem
With The Artificial Intelligence Tools M5 And FORS

Boris Kompare; Saso Dzeroski; Aram Karalic

doi:10.2495/WP970761

Identification Of The Lake Of Bled Ecosystem With The Artificial Intelligence Tools M5 And FORS

Price

Free (open access)

Transaction

WIT Transactions on Ecology and the Environment

Volume

Pages

Published

1997

Size

1,073 kb

Paper DOI

10.2495/WP970761

WIT Press

Author(s)

Boris Kompare, Saso Dzeroski & Aram Karalic

Abstract

Machine learning tools (ML), developed within the area of artificial intelligence (AI), are able to analyse a data base (perform data mining), using also some domain (expert) knowledge As a result, ML tools can automatically, or with limited expert help, induce compact and easy to understand models from measured data The paper briefly describes the ML tools M5 and FORS that induce knowledge from measured data in the form of regression trees and Prolog programs, respectively. It then describes their successful application to the system identification and subsequent prediction of algal growth in the Lake of Bled, Slovenia. The

Keywords

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Code

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