Multi-aspect pattern classification using predictive networks and error mapping

Abstract

A classification scheme is developed for classifying underwater mine-like and non-mine-like objects from acoustic backscattered signals. This scheme uses a predictive network along with a neural network classifier. The results of this scheme on an acoustic backscattered data set are given.