Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
The potential of the most recent pre-processing tool, namely, complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), is examined for providing AI models (artificial neural network, ANN; M5-model tree, M5-MT; and multivariate adaptive regression spline, MARS) with more informat...
| Váldodahkkit: | , , , |
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| Materiálatiipa: | Artihkal |
| Almmustuhtton: |
Taylor & Francis
2019
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| Fáttát: |