Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation

Mohsin Ali, Khan and Adeel, Zafar and Furqan, Farooq and Muhammad Faisal, Javed and Rayed, Alyousef and Hisham, Alabduljabbar and M. Ijaz, Khan Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation. Frontiers in Materials.

[img] Text
Paper003.pdf

Download (4MB)
Item Type: Article
Subjects: Q Science > QC Physics
Divisions: Faculty of Engineering and Applied Sciences (FEAS) > Department of Basic Sciences Islamabad
Depositing User: Dr. Muhammad Ijaz Khan
Date Deposited: 27 Aug 2021 15:37
Last Modified: 27 Aug 2021 15:37
URI: http://research.riphah.edu.pk/id/eprint/1584

Actions (login required)

View Item View Item