A transdisciplinary review of deep learning research and its relevance for water resources scientists
C Shen - Water Resources Research, 2018 - Wiley Online Library
Deep learning (DL), a new generation of artificial neural network research, has transformed
industries, daily lives, and various scientific disciplines in recent years. DL represents …
industries, daily lives, and various scientific disciplines in recent years. DL represents …
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 …
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 …
Ensemble modelling framework for groundwater level prediction in urban areas of India
India is facing the worst water crisis in its history and major Indian cities which accommodate
about 50% of its population will be among highly groundwater stressed cities by 2020. In …
about 50% of its population will be among highly groundwater stressed cities by 2020. In …
Prediction and simulation of monthly groundwater levels by genetic programming
E Fallah-Mehdipour, OB Haddad, MA Mariño - Journal of Hydro …, 2013 - Elsevier
Groundwater level is an effective parameter in the determination of accuracy in groundwater
modeling. Thus, application of simple tools to predict future groundwater levels and fill-in …
modeling. Thus, application of simple tools to predict future groundwater levels and fill-in …
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 …
Evaluation of climatic-change impacts on multiobjective reservoir operation with multiobjective genetic programming
PS Ashofteh, OB Haddad… - Journal of Water …, 2015 - ascelibrary.org
Multiobjective genetic programming is used to calculate optimal reservoir-operating rules
under baseline and climatic-change conditions. The rules are calculated based on river …
under baseline and climatic-change conditions. The rules are calculated based on river …
[图书][B] Handbook of genetic programming applications
In the past two decades, artificial intelligence algorithms have proved to be promising tools
for solving a multitude of tough scientific problems. Their success is due, in part, to the …
for solving a multitude of tough scientific problems. Their success is due, in part, to the …
Real-time operation of reservoir system by genetic programming
E Fallah-Mehdipour, O Bozorg Haddad… - Water resources …, 2012 - Springer
Reservoir operation policy depends on specific values of deterministic variables and
predictable actions as well as stochastic variables, in which small differences affect water …
predictable actions as well as stochastic variables, in which small differences affect water …