Thavasimuthu, M. ; Rajagopalan, C. ; Kalyanasundaram, P. ; Baldev Raj, (1996) Improving the evaluation sensitivity of an ultrasonic pulse echo technique using a neural network classifier NDT & E International, 29 (3). pp. 175-179. ISSN 0963-8695
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/096386...
Related URL: http://dx.doi.org/10.1016/0963-8695(96)80001-5
Abstract
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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Elsevier Science. |
| Keywords: | Multiparameter Approach; Neural Network Classifier; Weak Signals; Signal Classification; Ultrasonic Testing |
| ID Code: | 40373 |
| Deposited On: | 24 May 2011 04:32 |
| Last Modified: | 24 May 2011 04:32 |
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