Surrogate Modelling of Solutions of Integral Equations by Neural Networks
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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