Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm
This research presents a new model for finding optimal conditions in the concrete technology area. To do that, results of a series of laboratory investigations on concrete samples were considered and used to design several artificial intelligence (AI) models. The data samples include 8 parameters i....
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| Published in: | Engineering with computers Vol. 38; no. 4; pp. 3151 - 3168 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Springer London
01.08.2022
Springer Nature B.V |
| Subjects: | |
| ISSN: | 0177-0667, 1435-5663 |
| Online Access: | Get full text |
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