Predicting the level of water in rivers or streams can prove to be invaluable in areas with a high risk of flooding or droughts. While traditional models are based primarily on hypotheses about processes, another approach is emerging: artificial neural networks. Anne Johannet, an environmental engineering researcher at IMT Mines Alès, uses this approach. This article is part of our …
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