[HTML][HTML] A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
Ever since the first introduction of Artificial Intelligence into the field of hydrology, it has
further generated immense interest in researching aspects for further improvements to …
further generated immense interest in researching aspects for further improvements to …
Artificial intelligence based models for stream-flow forecasting: 2000–2015
Summary The use of Artificial Intelligence (AI) has increased since the middle of the 20th
century as seen in its application in a wide range of engineering and science problems. The …
century as seen in its application in a wide range of engineering and science problems. The …
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
The present study proposes a new hybrid evolutionary Adaptive Neuro-Fuzzy Inference
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …
Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a …
A review on the applications of machine learning for runoff modeling
B Mohammadi - Sustainable Water Resources Management, 2021 - Springer
The growing menace of global warming and restrictions on access to water in each region is
a huge threat to global hydrological sustainability. Hence, the perspective at which …
a huge threat to global hydrological sustainability. Hence, the perspective at which …
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
Reliable water level forecasting for reservoir inflow is essential for reservoir operation. The
objective of this paper is to develop and apply two hybrid models for daily water level …
objective of this paper is to develop and apply two hybrid models for daily water level …
Population, water, food, energy and dams
Should the construction of large dams continue? This question has raised an enormous
amount of controversy in recent years, in terms of both socio-economic development and …
amount of controversy in recent years, in terms of both socio-economic development and …
Genetic programming in water resources engineering: A state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …
automatic generation of computer programs. In recent decades, GP has been frequently …
Neural network river forecasting through baseflow separation and binary-coded swarm optimization
The inclusion of expert knowledge in data-driven streamflow modeling is expected to yield
more accurate estimates of river quantities. Modular models (MMs) designed to work on …
more accurate estimates of river quantities. Modular models (MMs) designed to work on …
A novel hybrid algorithms for groundwater level prediction
Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …