An Artificial Neural Network Approach to Predict Strain Gauge Results of Unidirectional Laminated Composites' Tensile Test
Author:
Affiliation:
1. Turkish Air Force Academy, National Defence University,Istanbul,Türkiye
2. Istanbul Technical University,Department of Aerospace Engineering,Istanbul,Türkiye
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10197839/10197652/10197913.pdf?arnumber=10197913
Reference13 articles.
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2. Prediction of average void fraction and pdf of void fraction in vertical 90 ° bend for air-silicone oil flow using multilayer perceptron (MLP) codes;paul;International journal of lean thinking,2017
3. ANN model for prediction of the effects of composition and process parameters on tensile strength and percent elongation of Si–Mn TRIP steels
4. The art of coupon tests
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