|
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 |
10.5120/12259-8489
|
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%.