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Surrogate modelling of solutions of integral equations by neural networks

IFIP Advances in Information and Communication Technology (2012) 381 AICT(PART 1) 88-96
DOI: 10.1007/978-3-642-33409-2_10
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Abstract

Surrogate modelling of solutions of integral equations by neural networks is investigated theoretically. Estimates of speed of convergence of suboptimal surrogate solutions to solutions described by Fredholm theorem are derived. © 2012 IFIP International Federation for Information Processing.

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Kůrková, V. (2012). Surrogate modelling of solutions of integral equations by neural networks. In IFIP Advances in Information and Communication Technology (Vol. 381 AICT, pp. 88–96). Springer New York LLC. https://doi.org/10.1007/978-3-642-33409-2_10

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