Characterization and prediction of the backscattered form function of an immersed cylindrical shell using hybrid fuzzy clustering and bio-inspired algorithms

摘要

Highlights?This paper proposes a new approach to predict the form function (FF).?Study the characterization of the cylindrical shell from the predicted FF.?Improving fuzzy clustering models using bio-inspired algorithms.?Comparing the performance of hybrid fuzzy clustering and bio-inspired algorithms.?Study the flexibility to use the proposed approach for acoustic characterization.AbstractThe acoustic scattering of a plane wave by an elastic cylindrical shell is studied. A new approach is developed to predict the form function of an immersed cylindrical shell of the radius ratio b/a (‘b’ is the inner radius and ‘a’ is the outer radius). The prediction of the backscattered form function is investigated by a combined approach between fuzzy clustering algorithms and bio-inspired algorithms. Four famous fuzzy cluste