A Spacetime RBF-Based DNNs for Solving Unsaturated Flow Problems
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DOI: 10.3390/math12182940
Abstract: This study presents a novel approach for modeling unsaturated flow using deep neural networks (DNNs) integrated with spacetime radial basis functions (RBFs). Traditional methods for simulating unsaturated flow often face challenges in computational efficiency and… read more here.
Keywords: unsaturated flow; solving unsaturated; spacetime rbfs; boundary data ... See more keywords