International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 70 - Issue 28 |
Published: May 2013 |
Authors: Y. Nahraoui, El H. Aassif, A. Elhanaoui, G. Maze |
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Y. Nahraoui, El H. Aassif, A. Elhanaoui, G. Maze . A Neuro-fuzzy Computing Technique for Modeling the Acoustic Form Function of Immersed Tubes. International Journal of Computer Applications. 70, 28 (May 2013), 42-50. DOI=10.5120/12259-8489
@article{ 10.5120/12259-8489, author = { Y. Nahraoui,El H. Aassif,A. Elhanaoui,G. Maze }, title = { A Neuro-fuzzy Computing Technique for Modeling the Acoustic Form Function of Immersed Tubes }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 70 }, number = { 28 }, pages = { 42-50 }, doi = { 10.5120/12259-8489 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Y. Nahraoui %A El H. Aassif %A A. Elhanaoui %A G. Maze %T A Neuro-fuzzy Computing Technique for Modeling the Acoustic Form Function of Immersed Tubes%T %J International Journal of Computer Applications %V 70 %N 28 %P 42-50 %R 10.5120/12259-8489 %I Foundation of Computer Science (FCS), NY, USA
An Adaptative Neuro-Fuzzy Inference System (ANFIS) is developed to predict the acoustic form function (FF) for an infinite length cylindrical shell excited perpendicularly to its axis. The Wigner-Ville distribution (WVD) is used like a comparison tool between the calculated FF by the analytical method and that predicted by the neuro-fuzzy technique for a copper tube. During the application of this technique, several configurations are evaluated for various radius ratio b/a (a: outer radius, b: inner radius of tube). This neuro-fuzzy technique is able to predict the FF with a mean relative error (MRE) about 1. 7%.