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Neural Networks: From Black Box towards Transparent Box Application to Evapotranspiration Modeling

Abstract : Neural networks are well known for their ability to model non linear functions, but as statistical methods usually does, they use a no parametric approach thus, a priori knowledge is not obvious to be taken into account no more than the a posteriori knowledge. In order to deal with these problematics, an original way to encode the knowledge inside the architecture is proposed. This method is applied to the problem of the evapotranspiration inside karstic aquifer which is a problem of huge utility in order to deal with water resource
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Submitted on : Monday, October 4, 2021 - 11:14:35 AM
Last modification on : Wednesday, October 6, 2021 - 3:08:59 AM

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  • HAL Id : hal-03363793, version 1

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Anne Johannet, Bernard Vayssade, D. Bertin. Neural Networks: From Black Box towards Transparent Box Application to Evapotranspiration Modeling. International Journal of Computational Intelligence, World Academy of Science, Engineering and Technology, 2008, 4 (3), pp.163-170. ⟨hal-03363793⟩

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