Combining time varying filtering based empirical mode decomposition and machine learning to predict precipitation from nonlinear series

Multiscale teleconnection analysis of monthly total and extreme precipitations in the Yangtze River Basin using ensemble empirical mode decomposition

(2020) Lizhi Tao et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

(2020) Mumtaz Ali et al.   JOURNAL OF HYDROLOGY

Emotional artificial neural networks (EANNs) for multi-step ahead prediction of monthly precipitation; case study: northern Cyprus

(2019) Vahid Nourani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

An enhanced multipoint optimal minimum entropy deconvolution approach for bearing fault detection of spur gearbox

(2019) Yuanbo Xu et al.   Journal of Mechanical Science and Technology

Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach

(2019) Renata Graf et al.   JOURNAL OF HYDROLOGY

Precipitation forecasting using classification and regression trees (CART) model: a comparative study of different approaches

(2018) Bahram Choubin et al.   Environmental Earth Sciences

Drought modeling: a comparative study between time series and neuro-fuzzy approaches

(2018) Elham Rafiei-Sardooi et al.   Arabian Journal of Geosciences

Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling

(2018) Muhammad Shoaib et al.   WATER RESOURCES MANAGEMENT

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

An ensemble forecast of semi-arid rainfall using large-scale climate predictors

(2017) B. Choubin et al.   METEOROLOGICAL APPLICATIONS

Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models

(2017) Rahim Barzegar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A time varying filter approach for empirical mode decomposition

(2017) Heng Li et al.   SIGNAL PROCESSING

Threshold-Based Hybrid Data Mining Method for Long-Term Maximum Precipitation Forecasting

(2017) Vahid Nourani et al.   WATER RESOURCES MANAGEMENT

New Approaches for Estimation of Monthly Rainfall Based on GEP-ARCH and ANN-ARCH Hybrid Models

(2017) Saeid Mehdizadeh et al.   WATER RESOURCES MANAGEMENT

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

(2017) Kwok-wing Chau   Water

New approach of friction model and identification for hydraulic system based on MAPSO-NMDS optimization Elman neural network

(2017) Yang Pan et al.   Advances in Mechanical Engineering

Transitional properties of droughts and related impacts of climate indices in the Pearl River basin, China

(2016) Mingzhong Xiao et al.   JOURNAL OF HYDROLOGY

A comparison between wavelet based static and dynamic neural network approaches for runoff prediction

(2016) Muhammad Shoaib et al.   JOURNAL OF HYDROLOGY

Potential application of wavelet neural network ensemble to forecast streamflow for flood management

(2016) K.S. Kasiviswanathan et al.   JOURNAL OF HYDROLOGY

Brain MR image classification using two-dimensional discrete wavelet transform and AdaBoost with random forests

(2016) Deepak Ranjan Nayak et al.   NEUROCOMPUTING

A hybrid wavelet neural network model with mutual information and particle swarm optimization for forecasting monthly rainfall

(2015) Xinguang He et al.   JOURNAL OF HYDROLOGY

Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models

(2015) Maryam Shafaei et al.   WATER RESOURCES MANAGEMENT

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks

(2013) John Abbot et al.   ATMOSPHERIC RESEARCH

Application of artificial neural networks to rainfall forecasting in Queensland, Australia

(2012) John Abbot et al.   ADVANCES IN ATMOSPHERIC SCIENCES

The significant relationship between the Arctic Oscillation (AO) in December and the January climate over South China

(2011) Hui Yang   ADVANCES IN ATMOSPHERIC SCIENCES

Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis

(2011) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks

(2010) Muhammad Ardalani-Farsa et al.   NEUROCOMPUTING

A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation

(2008) Vahid Nourani et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE