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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3049719
Abstract: In this article, we develop a framework for showing that neural networks can overcome the curse of dimensionality in different high-dimensional approximation problems. Our approach is based on the notion of a catalog network, which…
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Keywords:
efficient approximation;
neural networks;
high dimensional;
dimensional functions ... See more keywords