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Book Sections Year : 2007

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.
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hal-02927928 , version 1 (10-12-2021)

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A. Johannet, P.A. Ayral, B. Vayssade. Modelling non Measurable Processes by Neural Networks: Forecasting Underground Flow Case Study of the Céze Basin (Gard - France). Advances and Innovations in Systems, Computing Sciences and Software Engineering, Springer Netherlands, pp.53-58, 2007, 978-1-4020-6264-3. ⟨10.1007/978-1-4020-6264-3_10⟩. ⟨hal-02927928⟩
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