International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 70 - Number 28 |
Year of Publication: 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
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%.