IMPROVING THE ESTIMATION ACCURACY OF DATA TRAFFIC USING DATA MINING SPATIAL AUTOREGRESSIVE BENCHMARK MODEL.
Nation-wide Annual Average Daily Traffic(AADT)data on NFAS roads across the country are destroyed. Two machine learning methods, the Artificial Neural Network and Random Forest demonstrate a substantial increase in the accuracy of estimating AADT according to five scales that is MSE, RSQ, RMse, MAE...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2488 - 2500 |
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| Autores principales: | , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |