2007 International Symposium on Computational Intelligence and Intelligent Informatics 2007
DOI: 10.1109/isciii.2007.367373
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Prediction of the Acoustic Pressure Backscattered by a Steel Tube Using Neural Networks Approach

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“…Such parameters may be found from the velocity dispersion of the circumferential waves (S i and A i ), since it is directly related to the geometry and to the physical properties of the shell. Different methods have been proposing for analyse of the circumferential waves propagating around the cylindrical shell which includes temporal analysis [7,9], spectrum analysis [5,7], parametric time-frequency analysis [10][11][12][13][14][15][16], wavelet transform [19][20] and neural networks [21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Such parameters may be found from the velocity dispersion of the circumferential waves (S i and A i ), since it is directly related to the geometry and to the physical properties of the shell. Different methods have been proposing for analyse of the circumferential waves propagating around the cylindrical shell which includes temporal analysis [7,9], spectrum analysis [5,7], parametric time-frequency analysis [10][11][12][13][14][15][16], wavelet transform [19][20] and neural networks [21][22].…”
Section: Introductionmentioning
confidence: 99%