A comparative study of different artificial neural networks for the strength prediction of self-compacting concrete
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference13 articles.
1. Bhuva, Prashant, and Ankur Bhogayata. “A review on the application of artificial intelligence in the mix design optimization and development of self-compacting concrete.”Materials Today: Proceedings(2022).
2. Compressive strength prediction of self-compacting concrete-a bat optimization algorithm based ANNs;Andalib;Adv. Mater. Sci. Eng.,2022
3. Grey wolf optimizer-based anns to predict the compressive strength of self-compacting concrete;Andalib;Appl. Comput. Intell. Soft Comput.,2022
4. Predicting the compressive strength of self-compacting concrete containing class F fly ash using metaheuristic radial basis function neural network;Pazouki;Struct. Concr.,2022
5. A comparative study on predicting the rapid chloride permeability of self-compacting concrete using meta-heuristic algorithm and artificial intelligence techniques;Yuan;Struct. Concr.,2022
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete;Construction and Building Materials;2024-08
2. Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms;Buildings;2024-01-11
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