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- W4306147306 abstract "In this article, we have presented a multilayer perceptron artificial neural network (MLP ANN) method to solve the sixth-order boundary value problems that arise in several branches of engineering and physics such as fluid dynamics, hydrodynamics, beam theory, astrophysics and so on. The obtained solutions of these boundary value problems by our method are optimal as compared to other existing approximation methods. Furthermore, we have tested few models in order to decide the performance of the proposed technique. The numerical outcomes show that the proposed strategy is very effective for higher order boundary value problems and required low memory space and less computational time." @default.
- W4306147306 created "2022-10-14" @default.
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- W4306147306 date "2022-10-14" @default.
- W4306147306 modified "2023-09-30" @default.
- W4306147306 title "Multilayer Perceptron Artificial Neural Network Approach to Solve Sixth-Order Two-Point Boundary Value Problems" @default.
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- W4306147306 doi "https://doi.org/10.1007/978-981-19-0179-9_5" @default.
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