Deep Learning for Integro-Differential Modelling
Résumé
We investigate the use of deep learning technics for manipulating systems of differential and integral equations. We train models to replace classical existing algorithms in computer algebra. A new algorithm for producing interesting datasets is presented. The trained models compete with classical algorithms and have exhibited promising new examples unhandled by computer algebra methods.
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