An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research …
Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …
applications, there remains a need to develop more reliable and intelligent expert systems …
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management
W Niu, Z Feng - Sustainable Cities and Society, 2021 - Elsevier
Accurate runoff forecasting plays an important role in guaranteeing the sustainable
utilization and management of water resources. Artificial intelligence methods can provide …
utilization and management of water resources. Artificial intelligence methods can provide …
Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction
R Tabbussum, AQ Dar - Environmental Science and Pollution Research, 2021 - Springer
Flood prediction has gained prominence world over due to the calamitous socio-economic
impacts this hazard has and the anticipated increase of its incidence in the near future …
impacts this hazard has and the anticipated increase of its incidence in the near future …
Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions
The nature of streamflow in the basins is stochastic and complex making it difficult to make
an accurate prediction about the future river flows. Recently, artificial neural-based deep …
an accurate prediction about the future river flows. Recently, artificial neural-based deep …
Concepts, procedures, and applications of artificial neural network models in streamflow forecasting
A Malekian, N Chitsaz - Advances in streamflow forecasting, 2021 - Elsevier
Artificial neural network (ANN) model involves computations and mathematics, which
simulate the human–brain processes. Many of the recently achieved advancements are …
simulate the human–brain processes. Many of the recently achieved advancements are …
Non-linear input variable selection approach integrated with non-tuned data intelligence model for streamflow pattern simulation
Streamflow modeling is considered as an essential component for water resources planning
and management. There are numerous challenges related to streamflow prediction that are …
and management. There are numerous challenges related to streamflow prediction that are …
A comparative study on prediction of monthly streamflow using hybrid ANFIS-PSO approaches
S Samanataray, A Sahoo - KSCE Journal of Civil Engineering, 2021 - Springer
Monthly prediction of streamflow is a fundamental and complex hydrological phenomenon.
Accurate streamflow prediction helps in water resources planning, design, and …
Accurate streamflow prediction helps in water resources planning, design, and …
Streamflow forecasting by modeling the rainfall–streamflow relationship using artificial neural networks
Streamflow forecasting is a complex and fundamental hydrological phenomenon. The
accurate prediction of the streamflow helps in the planning, design, and management of …
accurate prediction of the streamflow helps in the planning, design, and management of …