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Acoustic Characterization and Modeling of the Thickness of a Submerged Tube by ANFIS and the Artificial Neural Network
International Journal of Computer Applications
Several theoretical and experimental studies have shown that the characterization of a target (tube,...) can be made from the cut-off frequencies of the anti-symmetric circumferential waves A 1 propagating around the tube of various radius ratio b/a (a: outer radius and b: inner radius). This work investigates the abilities of Adaptive Neuro-fuzzy Inference System ANFIS and Artificial Neural Networks ANN to predict the thickness of a tube immersed in water for various cut-frequency ofdoi:10.5120/ijca2016912120 fatcat:m6aaoubc5fenvj4p254krsciki