Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network

(2018) Jyotirmayee Naik et al.   RENEWABLE ENERGY

Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting

(2018) Zhi-Yu Wang et al.   Water

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting

(2016) Chuan Li et al.   WATER RESOURCES MANAGEMENT

Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis

(2015) Salim Lahmiri   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Daily Reservoir Runoff Forecasting Method Using Artificial Neural Network Based on Quantum-behaved Particle Swarm Optimization

(2015) Chun-tian Cheng et al.   Water

Improved annual rainfall-runoff forecasting using PSO–SVM model based on EEMD

(2015) Wen-chuan Wang et al.   JOURNAL OF HYDROINFORMATICS

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

(2013) Hatice Citakoglu et al.   WATER RESOURCES MANAGEMENT

Rainfall-runoff modeling using least squares support vector machines

(2012) Umut Okkan et al.   ENVIRONMETRICS

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Performance evaluation of artificial neural network approaches in forecasting reservoir inflow

(2011) M. Taghi Sattari et al.   APPLIED MATHEMATICAL MODELLING

Precipitation forecasting by using wavelet-support vector machine conjunction model

(2011) Ozgur Kisi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Acoustic Modeling Using Deep Belief Networks

(2011) Abdel-rahman Mohamed et al.   IEEE Transactions on Audio Speech and Language Processing

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

(2010) Dan Claudiu Cireşan et al.   NEURAL COMPUTATION

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Support vector machine-based models for hourly reservoir inflow forecasting during typhoon-warning periods

(2009) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Wavelet spectral analysis of the temperature and wind speed data at Adrar, Algeria

(2009) F. Chellali et al.   RENEWABLE ENERGY

Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques

(2008) A. Moghaddamnia et al.   ADVANCES IN WATER RESOURCES