Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables, and the output is the failure rate of...
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| Other Authors: | , , , , |
| Format: | article |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/287/1/Paper_my_AIAA.pdf |
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