A Novel Approach to Simulate Lane-Emden and Emden-Fowler Equations using Curriculum Learning-Based Unsupervised Symplectic Artificial Neural Network-Reference-Cited by-同舟云学术

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A Novel Approach to Simulate Lane-Emden and Emden-Fowler Equations using Curriculum Learning-Based Unsupervised Symplectic Artificial Neural Network

Published:2023-06 Issue:2 Volume:13 Page:276-298
ISSN:2079-7362
Container-title:East Asian Journal on Applied Mathematics
language:
Short-container-title:EAJAM

Author:

null Arup Kumar Sahoo,Chakraverty S.

Publisher

Global Science Press

Subject

Applied Mathematics

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised ANN model for solving fractional differential equations;Computation and Modeling for Fractional Order Systems;2024

2. Physics-informed Machine Learning Framework for Approximating the Modified Degasperis-Procesi Equation;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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