Multilayer neural networks enhanced with hybrid methods for solving fractional partial differential equations
This paper introduces a novel multilayer neural network technique to solve partial differential equations with non-integer derivatives (FPDEs). The proposed model is a deep feed-forward multiple layer neural network (DFMLNN) that is trained using advanced optimization approaches, namely adaptive mom...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
John Wiley and Sons
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120691/ |