| contributor author | Khatti, Jitendra | |
| contributor author | Mashaly, Asmaa A. | |
| date accessioned | 2026-08-20T12:11:03Z | |
| date available | 2026-08-20T12:11:03Z | |
| date copyright | 2025/07/16 | |
| date issued | 2025 | |
| identifier other | JSDCCC.SCENG-1843.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313197 | |
| description abstract | AbstractThis research presents a significant hybrid artificial neural network (ANN) model
by comparing the performance of six optimization techniques: artificial bee colony
(ABC), genetic algorithm (GA), grey wolf optimizer, Harris hawks optimization (HHO)... | |
| publisher | American Society of Civil Engineers | |
| title | Prediction of Rapid Chloride Penetration Resistance of Metakaolin-Based High Strength Concrete: Critical Comparison between Natural and Evolutionary Algorithm–Optimized Artificial Neural Networks | |
| type | Journal Article | |
| journal volume | 30 | |
| journal issue | 4 | |
| journal title | Journal of Structural Design and Construction Practice | |
| identifier doi | 10.1061/JSDCCC.SCENG-1843 | |
| journal fristpage | 04025090-1 | |
| journal lastpage | 04025090-18 | |
| page | 18 | |
| tree | Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004 | |
| contenttype | Fulltext | |
