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Evolving Radial Basis Function Neural Network with Hausdorff Similarity Measure for SONAR signals detection/ classification

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1 Author(s)
H. Peyvandi ; Scientific Applied Telecommunication College, P.O.Box: 19395-1544, Tehran, IRAN

In this paper, a new approach has been proposed for detection/ classification of SONAR signals based on radial basis function neural network (RBFNN), which has been modified with a robust and reliable measure named: Hausdorff similarity measure (HSM). Methodologies of approach and simulation results are also represented. The final results show the new approach is able to increase the total performance of detection/ classification of SONAR targets even in low SNR.

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Date of Conference:

11-14 May 2009