Related references
Note: Only part of the references are listed.A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer
Weibiao Qiao et al.
JOURNAL OF CLEANER PRODUCTION (2020)
A hybrid multi-objective genetic local search algorithm for the prize-collecting vehicle routing problem
Jianyu Long et al.
INFORMATION SCIENCES (2019)
A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction
Ahmad Khazaee Poul et al.
WATER RESOURCES MANAGEMENT (2019)
Daily natural gas consumption forecasting via the application of a novel hybrid model
Nan Wei et al.
APPLIED ENERGY (2019)
A Green Closed-Loop Supply Chain Coordination Mechanism Based on Third-Party Recycling
Jiafu Su et al.
SUSTAINABILITY (2019)
Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
Mohammed Falah Allawi et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2018)
Evaluation of the benefits of using a backward chaining decision support expert system for local flood forecasting and warning
Xiaoyin Zhang et al.
EXPERT SYSTEMS (2018)
Autoencoder-based deep belief regression network for air particulate matter concentration forecasting
Jingjing Xie et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2018)
A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data
Shikhar Srivastava et al.
SOLAR ENERGY (2018)
Monthly runoff forecasting based on LSTM-ALO model
Xiaohui Yuan et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2018)
Streamflow and Hydrological Drought Trend Analysis and Forecasting in Cyprus
Dimitrios Myronidis et al.
WATER RESOURCES MANAGEMENT (2018)
Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency
Sandra Pool et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2018)
Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi et al.
WATER (2018)
Modelling the Present and Future Water Level and Discharge of the Tidal Betna River
M. M. Majedul Islam et al.
GEOSCIENCES (2018)
A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach
Xingya Xu et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2017)
Accurate recognition of words in scenes without character segmentation using recurrent neural network
Bolan Su et al.
PATTERN RECOGNITION (2017)
Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information
Tiantian Yang et al.
WATER RESOURCES RESEARCH (2017)
Influence of Large Reservoir Operation on Water-Levels and Flows in Reaches below Dam: Case Study of the Three Gorges Reservoir
Yunping Yang et al.
SCIENTIFIC REPORTS (2017)
An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting
Xuehua Zhao et al.
WATER (2017)
Deep learning based ensemble approach for probabilistic wind power forecasting
Huai-zhi Wang et al.
APPLIED ENERGY (2017)
Model fusion approach for monthly reservoir inflow forecasting
Yun Bai et al.
JOURNAL OF HYDROINFORMATICS (2016)
Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models
Yun Bai et al.
JOURNAL OF HYDROLOGY (2016)
A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network
Greer B. Humphrey et al.
JOURNAL OF HYDROLOGY (2016)
Drought monitoring based on TIGGE and distributed hydrological model in Huaihe River Basin, China
Junfang Zhao et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2016)
Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting
Chuan Li et al.
WATER RESOURCES MANAGEMENT (2016)
Improving Ann-Based Short-Term and Long-Term Seasonal River Flow Forecasting with Signal Processing Techniques
H. Badrzadeh et al.
RIVER RESEARCH AND APPLICATIONS (2016)
Enhancing river model set-up for 2-D dynamic flood modelling
Pierfranco Costabile et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2015)
Streamflow data assimilation in SWAT model using Extended Kalman Filter
Leqiang Sun et al.
JOURNAL OF HYDROLOGY (2015)
Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
Wen-chuan Wang et al.
WATER RESOURCES MANAGEMENT (2015)
A Review on Hydrological Models
Gayathri K. Devi et al.
INTERNATIONAL CONFERENCE ON WATER RESOURCES, COASTAL AND OCEAN ENGINEERING (ICWRCOE'15) (2015)
Effect of Pruning and Smoothing while Using M5 Model Tree Technique for Reservoir Inflow Prediction
V. Jothiprakash et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2011)
Temporal sampling strategies and uncertainty in calibrating a conceptual hydrological model for a small boreal catchment
John Juston et al.
HYDROLOGICAL PROCESSES (2009)
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
Hoshin V. Gupta et al.
JOURNAL OF HYDROLOGY (2009)
Impact of limited streamflow data on the efficiency and the parameters of rainfall-runoff models
Charles Perrin et al.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES (2007)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)