@article{fdi:010079782,
  title = {{P}arameter identification by statistical learning of a stochastic dynamical system modelling a fishery with price variation},
  author = {{A}uger, {P}ierre and {P}ironneau, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this short paper we report on an inverse problem for parameter setting of a model used for the modelling of fishing on the {W}est {A}frican coast. {W}e compare the solution of this inverse problem by a {N}eural {N}etwork with the more classical algorithms of optimisation and stochastic control. {T}he {N}eural {N}etwork does much better.},
  keywords = {},
  booktitle = {},
  journal = {{C}omptes {R}endus {M}athematique},
  volume = {358},
  numero = {3},
  pages = {245--253},
  ISSN = {1631-073{X}},
  year = {2020},
  DOI = {10.5802/crmath.2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079782},
}