Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. The inputs to the neural network are independent variables and the output is the failure ra...
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| Other Authors: | , , , , |
| Format: | article |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/335/1/Paper_EAAI.pdf |
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