Abstract
Neural network based signal classification systems are being applied increasingly in non-destructive evaluation to solve the inverse problem. In general, two issues not usually addressed are (i) estimation of reliability measures of the network decision and (ii) ability of the network to learn and improve its performance with time. This paper presents a signal classification systems using the Fuzzy ARTMAP network. Fuzzy logic based reliability measures are developed for the Fuzzy ARTMAP network and used as a feedback for retraining the network to improve its performance. The performance of the algorithm is demonstrated using ultrasonic data obtained from the inspection of welds in nuclear power plant piping.
Original language | English |
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Pages | 4015-4020 |
Number of pages | 6 |
State | Published - 1999 |
Externally published | Yes |
Event | International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: Jul 10 1999 → Jul 16 1999 |
Conference
Conference | International Joint Conference on Neural Networks (IJCNN'99) |
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City | Washington, DC, USA |
Period | 07/10/99 → 07/16/99 |