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- W2581212280 abstract "In this paper, we present an algorithm based on artificial neural networks (ANNs) and harmony search (HS) for the numerical solution of boundary value problems (BVPs), which evolves in most of the science and engineering applications. An approximate trial solution of the BVPs is constructed in terms of ANN in a way that it satisfies the desired boundary conditions of the differential equation (DE) a utomatically. Approximate satisfaction of the trial solution results in an unsupervised error, which is minimized by training ANN using the harmony search algorithm (HSA). A BVP modeling the flow of a stretching surface is considered here as a test problem to validate the accuracy, convergence and effectiveness of the proposed algorithm. The obtained results are compared with the available exact solution also to test the correctness of the algorithm." @default.
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- W2581212280 date "2017-01-01" @default.
- W2581212280 modified "2023-09-25" @default.
- W2581212280 title "Numerical Solution of Boundary Value Problems Using Artificial Neural Networks and Harmony Search" @default.
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- W2581212280 doi "https://doi.org/10.1007/978-981-10-3728-3_12" @default.
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