Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work
F Fotovatikhah, M Herrera… - Engineering …, 2018 - Taylor & Francis
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …
materials such as hospital waste. Debris causes serious threats to people's health and can …
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 …
Applications of hybrid wavelet–artificial intelligence models in hydrology: a review
Accurate and reliable water resources planning and management to ensure sustainable use
of watershed resources cannot be achieved without precise and reliable models …
of watershed resources cannot be achieved without precise and reliable models …
Implementation of hybrid particle swarm optimization-differential evolution algorithms coupled with multi-layer perceptron for suspended sediment load estimation
River suspended sediment load (SSL) estimation is of importance in water resources
engineering and hydrological modeling. In this study, a novel hybrid approach is …
engineering and hydrological modeling. In this study, a novel hybrid approach is …
Daily suspended sediment load prediction using artificial neural networks and support vector machines
In recent decades, development of artificial intelligence, as a predictor for hydrological
phenomenon, has created a great change in predictions. This paper investigates the …
phenomenon, has created a great change in predictions. This paper investigates the …
The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction
Providing a robust and reliable prediction model for suspended sediment concentration
(SSC) is an essential task for several environmental and geomorphology prospective …
(SSC) is an essential task for several environmental and geomorphology prospective …
Estimating suspended sediment load with multivariate adaptive regression spline, teaching-learning based optimization, and artificial bee colony models
The functional life of a dam is often determined by the rate of sediment delivery to its
reservoir. Therefore, an accurate estimate of the sediment load in rivers with dams is …
reservoir. Therefore, an accurate estimate of the sediment load in rivers with dams is …
Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction
Suspended sediment load is a substantial portion of the total sediment load in rivers and
plays a vital role in determination of the service life of the downstream dam. To this end …
plays a vital role in determination of the service life of the downstream dam. To this end …
Capability and robustness of novel hybridized artificial intelligence technique for sediment yield modeling in Godavari River, India
Suspended sediment yield (SSY) prediction plays a crucial role in the planning of water
resource management and design. Accurate sediment prediction using conventional models …
resource management and design. Accurate sediment prediction using conventional models …
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent …
S Samadianfard, K Kargar, S Shadkani… - Neural Computing and …, 2022 - Springer
Owing to the nonlinear and non-stationary nature of the suspended sediment transport in
rivers, suspended sediment concentration (SSC) modeling is a challenging task in …
rivers, suspended sediment concentration (SSC) modeling is a challenging task in …