Integration of neural networks in a geographical information system for the monitoring of a catchment area

The present work takes part in a global development of reliable and robust tools allowing real-time controlling and supervising of the Têt catchment area, the main river of the Pyrénées-Orientales department (Southern France). The impact of the Têt on the department life is significant and the management of its water quality must be largely improved and better supervised.

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Year of publication:	2008
Authors:	Thiery, Frédérik ; Grieu, Stéphane ; Traoré, Adama ; Barreau, Mathieu ; Polit, Monique
Published in:	Mathematics and Computers in Simulation (MATCOM). - Elsevier, ISSN 0378-4754. - Vol. 76.2008, 5, p. 388-397
Publisher:	Elsevier
Subject:	Elman neural network \| “Rain flow” predictive model \| Monitoring \| Geographical information system

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011050877