Prediction of compressive strength of recycled aggregate concrete using artificial neural network and cuckoo search method
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference43 articles.
1. Comparison of artificial neural network (ANN) and response surface methodology (RSM) prediction in compressive strength of recycled concrete aggregates;Hammoudi;Constr. Build. Mater.,2019
2. Shoukai Chen, Yunpeng Zhao, Yajing Bie, (2020), The prediction analysis of properties of recycled aggregate permeable concrete based on back-propagation neural network, J. Clean. Prod., 276, 124187.
3. Mixture Optimization of recycled aggregate concrete using hybrid machine learning model;Nunez;Materials,2020
4. Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete;Golafshani;J. Cleaner Prod.,2018
5. Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete;Golafshani;Appl. Soft Comput.,2018
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