Experimental and modelling of alkali-activated mortar compressive strength using hybrid support vector regression and genetic algorithm
This paper presents the outcome of work conducted to develop models for the prediction of compressive strength (CS) of alkali-activated limestone powder and natural pozzolan mortar (AALNM) using hybrid genetic algorithm (GA) and support vector regression (SVR) algorithm, for the first time. The deve...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/97526/1/MohdAzreen2021_ExperimentalandModellingofAlkaliActivatedMortar.pdf http://eprints.utm.my/id/eprint/97526/ http://dx.doi.org/10.3390/ma14113049 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|