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Modelling non Measurable Processes by Neural Networks: Forecasting Underground Flow Case Study of the Céze Basin (Gard - France)
Abstract : After a presentation of the nonlinear properties of neural networks, their applications to hydrology are described. A neural predictor is satisfactorily used to estimate a flood peak. The main contribution of the paper concerns an original method for visualising a hidden underground flow Satisfactory experimental results were obtained that fitted well with the knowledge of local hydrogeology, opening up an interesting avenue for modelling using neural networks.
https://hal.mines-ales.fr/hal-02927928
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Submitted on : Friday, December 10, 2021 - 1:49:59 PM
Last modification on : Thursday, December 16, 2021 - 4:21:20 PM
Contributor : Administrateur Imt - Mines Alès Connect in order to contact the contributor
Submitted on : Friday, December 10, 2021 - 1:49:59 PM
Last modification on : Thursday, December 16, 2021 - 4:21:20 PM
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