Estimation of macroscopic failure strength of heterogeneous geomaterials containing inclusion and pore with artificial neural network approach
Author:
Funder
European Commission
Publisher
Elsevier BV
Reference77 articles.
1. Predicting shrinkage of alkali-activated blast furnace-fly ash mortars using artificial neural network (ANN);Adesanya;Cem. Concr. Compos.,2021
2. Compressive strength of natural hydraulic lime mortars using soft computing techniques;Apostolopoulou;Procedia Struct. Integr.,2019
3. A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength;Armaghani;Neural Comput. Appl.,2021
4. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition;Armaghani;Tunn. Undergr. Space Technol.,2017
5. Prediction of the compressive strength of self-compacting concrete using surrogate models;Asteris;Comput. Concr.,2019
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