Progress in Artificial Intelligence-based Prediction of Concrete Performance
Author:
Affiliation:
1. College of Architecture and environment, Sichuan University, Chengdu 610065, China.
2. Shanghai Jiao Tong University, Shanghai 200240, China.
Publisher
Japan Concrete Institute
Subject
General Materials Science,Building and Construction
Link
https://www.jstage.jst.go.jp/article/jact/19/8/19_924/_pdf
Reference85 articles.
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3. 3) Adeli, H. and Yeh, C., (1989). “Perceptron learning in engineering design.” Computer-Aided Civil & Infrastructure Engineering, 4(4), 247-256.
4. 4) Ahangar Asr, A., Faramarzi, A., Javadi, A. A. and Giustolisi, O., (2011). “Modelling mechanical behaviour of rubber concrete using evolutionary polynomial regression.” Engineering Computations, 28(4), 492-507.
5. 5) Ahangar-Asr, A., Faramarzi, A., Javadi, A. A. and Giustolisi, O., (2013). “Modelling mechanical behaviour of rubber concrete using evolutionary polynomial regression.” Engineering Computations, 28(4), 492-507.
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