Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes in values (i.e., discontinuities, holes or jumps in graph representations). While many studies have explored the use of neural networks for approximating continuous functions, their ability to approximate nonlinear operators has rarely been investigated so far.
from News on Artificial Intelligence and Machine Learning https://ift.tt/3g7sNkS
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DeepONet: A deep neural network-based model to approximate linear and nonlinear operators
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