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This article is cited in 4 scientific papers (total in 4 papers)
Construction of approximate neural network models according to heterogeneous data
A. N. Vasilyev, D. A. Tarkhov Saint-Petersburg State Polytechnical University
Abstract:
Neural network approach to the robust mathematical model construction according to heterogeneous pieces of information (equations, conditions, experimental data, etc.) is considered. The case of ordinary differential equations and the case of partial differential equations and possible generalizations as well are key problems in the paper. Some model examples are given.
Received: 18.12.2006
Citation:
A. N. Vasilyev, D. A. Tarkhov, “Construction of approximate neural network models according to heterogeneous data”, Matem. Mod., 19:12 (2007), 43–51
Linking options:
https://www.mathnet.ru/eng/mm1225 https://www.mathnet.ru/eng/mm/v19/i12/p43
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Abstract page: | 839 | Full-text PDF : | 484 | References: | 77 | First page: | 7 |
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