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  • 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.
  • 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. (en)
Title
  • Surrogate Modelling of Solutions of Integral Equations by Neural Networks
  • Surrogate Modelling of Solutions of Integral Equations by Neural Networks (en)
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  • Surrogate Modelling of Solutions of Integral Equations by Neural Networks
  • Surrogate Modelling of Solutions of Integral Equations by Neural Networks (en)
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  • RIV/67985807:_____/12:00379775!RIV13-AV0-67985807
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  • RIV/67985807:_____/12:00379775
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  • surrogate modelling by neural networks; Fredholm integral equations; rates of approximation; model complexity (en)
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  • [3729469270A6]
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  • Artificial Intelligence Applications and Innovations
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  • Kůrková, Věra
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  • Springer-Verlag
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  • 978-3-642-33408-5
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