Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors
Abstract
:1. Introduction
2. Data and Modeling Methodology
2.1. Data
2.2. Methodology
2.2.1. Artificial Neural Network
2.2.2. Metaheuristic Optimizers
2.2.3. Hybridization Process
3. Results and Discussion
3.1. Accuracy Criteria
3.2. Performance Evaluation
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Np | BBO-MLP | SSA-MLP | MFO-MLP | WDO-MLP | ||||
---|---|---|---|---|---|---|---|---|
RMSE | Time (s) | RMSE | Time (s) | RMSE | Time (s) | RMSE | Time (s) | |
10 | 5.505577 | 139.4756 | 6.355048 | 144.6717 | 5.8897 | 127.0382 | 6.215144 | 127.2421 |
25 | 4.730596 | 347.3891 | 5.748444 | 344.6891 | 5.540889 | 334.6007 | 5.942362 | 324.4255 |
50 | 4.974088 | 690.5993 | 5.569974 | 666.6998 | 5.610954 | 673.13 | 6.144947 | 632.0315 |
75 | 4.858011 | 1031.498 | 5.522838 | 953.5088 | 5.817214 | 1000.989 | 6.133931 | 986.733 |
100 | 4.816898 | 1310.805 | 4.920222 | 1263.715 | 5.530195 | 1255.081 | 5.664862 | 1398.88 |
200 | 4.74319 | 3025.854 | 5.10271 | 2532.209 | 5.815933 | 2505.335 | 6.285705 | 3270.84 |
300 | 4.692921 | 3870.514 | 5.104293 | 3770.992 | 5.728259 | 4225.847 | 6.166536 | 30,623.5 |
400 | 5.043938 | 5170.186 | 5.553021 | 5051.865 | 5.658828 | 5861.167 | 6.11727 | 5550.942 |
500 | 5.061255 | 6856.051 | 4.950267 | 7814.967 | 5.676524 | 6622.55 | 6.178576 | 6720.605 |
Ensemble Models | Network Results | |||||
---|---|---|---|---|---|---|
Training Phase | Testing Phase | |||||
RMSE | MAE | R2 | RMSE | MAE | R2 | |
BBO-MLP | 4.6929 | 3.6729 | 0.7479 | 3.6399 | 2.9521 | 0.7157 |
SSA-MLP | 4.9202 | 3.8692 | 0.7202 | 3.8572 | 3.0871 | 0.5793 |
MFO-MLP | 5.5302 | 4.3970 | 0.6472 | 3.3309 | 2.3156 | 0.6748 |
WDO-MLP | 5.6649 | 4.6087 | 0.6283 | 3.7540 | 2.8368 | 0.6438 |
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Safayenikoo, H.; Nejati, F.; Nehdi, M.L. Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors. Sustainability 2022, 14, 10373. https://doi.org/10.3390/su141610373
Safayenikoo H, Nejati F, Nehdi ML. Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors. Sustainability. 2022; 14(16):10373. https://doi.org/10.3390/su141610373
Chicago/Turabian StyleSafayenikoo, Hamed, Fatemeh Nejati, and Moncef L. Nehdi. 2022. "Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors" Sustainability 14, no. 16: 10373. https://doi.org/10.3390/su141610373