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Parameter Identification by Statistical Learning of a Stochastic Dynamical Systems Modelling a Fishery with price variation

Abstract : In this short paper we report on an inverse problem for parameter setting of a model used for the modelling of fishing on the West African coast. We compare the solution of this inverse problem by a Neural Network with the more classical algorithms of optimisation and stochastic control. The Neural Network does much better.
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https://hal.sorbonne-universite.fr/hal-02444862
Contributor : Olivier Pironneau <>
Submitted on : Sunday, January 19, 2020 - 3:14:17 PM
Last modification on : Wednesday, December 9, 2020 - 3:07:31 PM
Long-term archiving on: : Monday, April 20, 2020 - 1:45:06 PM

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  • HAL Id : hal-02444862, version 1

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Pierre Auger, Olivier Pironneau. Parameter Identification by Statistical Learning of a Stochastic Dynamical Systems Modelling a Fishery with price variation. 2020. ⟨hal-02444862⟩

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