| DISCRIMINATION OF CYLINDERS WITH DIFFERENT WALL THICKNESSES USING NEURAL NETWORKS AND SIMULATED DOLPHIN SONAR SIGNALS (2007) | |||||||||||||||
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| Abstract. This paper describes a method integrating neural networks into a system for recognizing underwater objects. The system is based on a combination of simulated dolphin sonar signals, simulated auditory lters and articial neural networks. The system is tested on a cylinder wall thickness dierence experiment and demonstrates high accuracy for small wall thickness dierences. Results from the experiment are compared with results obtained by a false killer whale (pseudorca crassidens). | |||||||||||||||
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