Surrogate Modelling of Solutions of Integral Equations by Neural Networks

Věra Kůrková

doi:10.1007/978-3-642-33409-2_10

Conference Papers Year : 2012

Surrogate Modelling of Solutions of Integral Equations by Neural Networks

(1)

Věra Kůrková

Function : Author
PersonId : 1008028

Institute of Computer Science

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.

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Computer Science [cs]

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978-3-642-33409-2_10_Chapter.pdf (95.15 Ko)

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Submitted on : Thursday, May 11, 2017-5:10:28 PM

Last modification on : Wednesday, November 18, 2020-7:20:08 PM

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hal-01521408 , version 1 (11-05-2017)

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CC BY 4.0 - Attribution

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HAL Id : hal-01521408 , version 1
DOI : 10.1007/978-3-642-33409-2_10

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Věra Kůrková. Surrogate Modelling of Solutions of Integral Equations by Neural Networks. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.88-96, ⟨10.1007/978-3-642-33409-2_10⟩. ⟨hal-01521408⟩

Surrogate Modelling of Solutions of Integral Equations by Neural Networks

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