A Neuro-fuzzy Computing Technique for Modeling the Acoustic Form Function of Immersed Tubes | Zendy

Youssef Nahraoui | Zendy; El Houcein Aassif | Zendy; Abdelkader Elhanaoui | Zendy; G. Mazé | Zendy

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A Neuro-fuzzy Computing Technique for Modeling the Acoustic Form Function of Immersed Tubes

Author(s) -

Youssef Nahraoui,

El Houcein Aassif,

Abdelkader Elhanaoui,

G. Mazé

Publication year - 2013

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/12259-8489

Subject(s) - computer science , fuzzy logic , acoustics , artificial intelligence , physics

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%. Keywords—ANFIS, acoustic scattering, cylindrical shells, Wigner-Ville distribution.

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