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 …
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
On the environmental performance analysis: a combined fuzzy data envelopment analysis and artificial intelligence algorithms
Greenhouse gases (GHG) remain in the atmosphere for a very long-time causing alarmingly
fast warming worldwide (global warming); especially Carbon dioxide (CO 2) emissions have …
fast warming worldwide (global warming); especially Carbon dioxide (CO 2) emissions have …
Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation
Obtaining accurate estimates of evapotranspiration is a key issue in many fields like
hydrology, ecology, and agriculture. There exist different ways, including physical-based …
hydrology, ecology, and agriculture. There exist different ways, including physical-based …
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 …
Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China
S Wang, J Lian, Y Peng, B Hu, H Chen - Agricultural Water Management, 2019 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is very important in hydrological
cycle research, and is essential in agricultural water management and allocation. The …
cycle research, and is essential in agricultural water management and allocation. The …
Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions
Evapotranspiration is one of the most important components of the hydrological cycle as it
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …
accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate …
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 …
A hybrid computational intelligence approach to groundwater spring potential mapping
This study proposes a hybrid computational intelligence model that is a combination of
alternating decision tree (ADTree) classifier and AdaBoost (AB) ensemble, namely “AB …
alternating decision tree (ADTree) classifier and AdaBoost (AB) ensemble, namely “AB …
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 …