Now showing items 1-4 of 4
A hybrid support vector regression-firefly model for monthly rainfall forecasting
(Springer Berlin Heidelberg, 2019)
Long-term prediction of rainfalls is one of the most challenging tasks in stochastic hydrology owing to the highly random characteristics of rainfall events. In this paper, a novel approach is adopted to develop a hybrid ...
Pareto-optimal MPSA-MGGP: a new gene-annealing model for monthly rainfall forecasting
Rainfall is considered the hardest weather variable to forecast, and its cause-effect relationships often cannot be expressed in simple or complex mathematical forms. This study introduces a novel hybrid model to month ...
Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure
(IWA Publishing, 2019)
In this paper, wavelet transform coherence is implemented to examine the impacts of hydroclimatological variables on water level fluctuations in two large saline lakes in the Middle East with a similar geographical location, ...
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(Springer Nature Switzerland AG, 2019)
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...