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 …
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
Monthly stream-flow forecasting can yield important information for hydrological applications
including sustainable design of rural and urban water management systems, optimization of …
including sustainable design of rural and urban water management systems, optimization of …
A robust method for non-stationary streamflow prediction based on improved EMD-SVM model
E Meng, S Huang, Q Huang, W Fang, L Wu, L Wang - Journal of hydrology, 2019 - Elsevier
Monthly streamflow prediction can offer important information for optimal management of
water resources, flood mitigation, and drought warning. The semi-humid and semi-arid Wei …
water resources, flood mitigation, and drought warning. The semi-humid and semi-arid Wei …
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
To support alternative forms of energy resources, the prediction of global incident solar
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and …
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free 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 …
A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling
AP Piotrowski, JJ Napiorkowski - Journal of Hydrology, 2013 - Elsevier
Artificial neural networks (ANNs) becomes very popular tool in hydrology, especially in
rainfall–runoff modelling. However, a number of issues should be addressed to apply this …
rainfall–runoff modelling. However, a number of issues should be addressed to apply this …
Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural …
Without a doubt, landslide is one of the most disastrous natural hazards and landslide
susceptibility maps (LSMs) in regional scale are the useful guide to future development …
susceptibility maps (LSMs) in regional scale are the useful guide to future development …
Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique
Accurate prediction of streamflow is an essential ingredient for both water quantity and
quality management. In recent years, artificial intelligence (AI) techniques have been …
quality management. In recent years, artificial intelligence (AI) techniques have been …