Journal
EUROPEAN PHYSICAL JOURNAL PLUS
Volume 135, Issue 9, Pages -Publisher
SPRINGER HEIDELBERG
DOI: 10.1140/epjp/s13360-020-00780-3
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Funding
- National Board of Higher Mathematics (NBHM), Government of India [02011/-25/2019/RD-II/3889]
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This paper presents the application of artificial neural network technique for solving a class of third-order linear and nonlinear boundary value problems with mixed nonlinear boundary conditions. This technique overcomes the singular behavior of problems and outlines the approximations of high exactness with a vast viable region of convergence. The proposed method has been tested for various examples; acquired outcomes exhibit the effectiveness and robustness of the proposed strategy and are compared with the other existing numerical techniques.
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