State-of-the-art development of two-waves artificial intelligence modeling techniques for river streamflow forecasting
Streamflow forecasting is the most well studied hydrological science but still portray numerous unknown knowledge. The conventional physical-based model is unable to yield a high accuracy of forecast due to the embedded noises, non-linear and stochastic nature of hydrological data. This paper is to...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | مقال |
| منشور في: |
Springer
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://eprints.um.edu.my/40971/ |
| الوسوم: |
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