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Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques
The main goal of this study is to estimate the pullout forces by developing various modelling technique like feedforward neural network (FFNN), radial basis functions neural networks (RBNN), general regression neural network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS). A hybrid learning...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6749431/ https://ncbi.nlm.nih.gov/pubmed/31450585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19173678 |
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