Geodesic
Mathematical modeling of distributed systems by neural networks
Matematičeskoe modelirovanie, Tome 19 (2007) no. 12, pp. 32-42

Voir la notice de l'article provenant de la source Math-Net.Ru

Neural networks are considered as a new universal approach to the mathematical model construction of systems with distributed parameters. They allow us to find efficiently approximate solutions of initial and boundary value problems for partial differential equations and to take into consideration phenomena and coefficient perturbations. 
@article{MM_2007_19_12_a3,
     author = {A. N. Vasilyev},
     title = {Mathematical modeling of distributed systems by neural networks},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {32--42},
     publisher = {mathdoc},
     volume = {19},
     number = {12},
     year = {2007},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2007_19_12_a3/}
}
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A. N. Vasilyev. Mathematical modeling of distributed systems by neural networks. Matematičeskoe modelirovanie, Tome 19 (2007) no. 12, pp. 32-42. http://geodesic.mathdoc.fr/item/MM_2007_19_12_a3/