A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
https://orcid.org/0000-0001-8536-5305
https://orcid.org/0000-0003-2906-6479
https://orcid.org/0000-0002-4446-673X
https://orcid.org/0000-0002-1162-1289
https://orcid.org/0000-0003-1836-3451
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
https://orcid.org/0000-0001-8536-5305
https://orcid.org/0000-0003-2906-6479
https://orcid.org/0000-0002-4446-673X
https://orcid.org/0000-0002-1162-1289
https://orcid.org/0000-0003-1836-3451
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
https://orcid.org/0000-0001-8536-5305
https://orcid.org/0000-0003-2906-6479
https://orcid.org/0000-0002-4446-673X
https://orcid.org/0000-0002-1162-1289
https://orcid.org/0000-0003-1836-3451
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Transp. Infrastruct. Geotech.
Rabbani, Ahsan (author) / Samui, Pijush (author) / Kumari, Sunita (author) / Saraswat, Bhupendra Kumar (author) / Tiwari, Mohit (author) / Rai, Anubhav (author)
Transportation Infrastructure Geotechnology ; 11 ; 1708-1729
2024-08-01
Article (Journal)
Electronic Resource
English
Predicting the Fracture Characteristics of Concrete Using Ensemble and Meta-heuristic Algorithms
| Springer Verlag | 2023