Neural Networks are Integrable
Numerical Analysis
2024-03-20 v2 Numerical Analysis
Abstract
In this study, we explore the integration of Neural Networks, a powerful class of functions known for their exceptional approximation capabilities. Our primary emphasis is on the integration of multi-layer Neural Networks, a challenging task within this domain. To tackle this challenge, we introduce a novel numerical method that consist of a forward algorithm and a corrective procedure. Our experimental results demonstrate the accuracy achieved through our integration approach.
Cite
@article{arxiv.2310.14394,
title = {Neural Networks are Integrable},
author = {Yucong Liu},
journal= {arXiv preprint arXiv:2310.14394},
year = {2024}
}