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Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks
Kůrková, Věra
Surrogate solutions of integral equations by neural networks are investigated theoretically. Upper bounds on speed of convergence of approximate solutions computable by neural networks with increasing model complexity to exact solutions described by Fredholm theorem are derived.

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