Improving the evaluation sensitivity of an ultrasonic pulse echo technique using a neural network classifier

In this paper, the use of an artificial neural network (ANN) for classifying weak ultrasonic signals has been attempted. The limitations of using a single conventional parameter for signal detection and classification (namely peak amplitude alone) are highlighted. Use of a multi-parameter approach is suggested. The ANN used is a multi-layered, feedforward, error- backpropagation network. Results are compared with those of conventional approaches.