2008
DOI: 10.1142/s021821300800431x
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Computing an Adaptive Mesh in Fluid Problems Using Neural Network and Genetic Algorithm With Adaptive Relaxation

Abstract: A method based on neural network with Back-Propagation Algorithm (BPA) and Adaptive Smoothing Errors (ASE), and a Genetic Algorithm (GA) employing a new concept named Adaptive Relaxation (GAAR) is presented in this paper to construct learning system that can find an Adaptive Mesh points (AM) in fluid problems. AM based on reallocation scheme is implemented on different types of two steps channels by using a three layer neural network with GA. Results of numerical experiments using Finite Element Method (FEM) a… Show more

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Cited by 7 publications
(18 citation statements)
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“…The adaptive mesh points based on reallocation schemes on the symmetrical backward-facing steps channels are enforced effi- ciently [1,2]. However, in this work, 120 elements are placed in the flow region and it is enough to get high accuracy of the numerical simulation model using FEM/MAIL (see Fig.…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…The adaptive mesh points based on reallocation schemes on the symmetrical backward-facing steps channels are enforced effi- ciently [1,2]. However, in this work, 120 elements are placed in the flow region and it is enough to get high accuracy of the numerical simulation model using FEM/MAIL (see Fig.…”
Section: Resultsmentioning
confidence: 99%
“…However, in this work, 120 elements are placed in the flow region and it is enough to get high accuracy of the numerical simulation model using FEM/MAIL (see Fig. 7a) [1,2].…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations