The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level
Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series of differences between observed and forecast v...
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| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | EJournal Article |
| منشور في: |
Universitas Ahmad Dahlan,
2019-03-31.
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Get Fulltext |
| الوسوم: |
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| رقم الطلب: |
A1234.567 |
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| النسخة 1 | متاح |