Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste

(2016) Mortaza Aghbashlo et al.   ENERGY

Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran

(2016) Rahim Barzegar et al.   Environmental Earth Sciences

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

(2016) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

(2016) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean

(2015) Mohamad Javad Alizadeh et al.   MARINE POLLUTION BULLETIN

A wavelet extreme learning machine

(2015) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran

(2015) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Daily precipitation predictions using three different wavelet neural network algorithms by meteorological data

(2015) Turgay Partal et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A Hybrid Methodology for Salinity Time Series Forecasting Based on Wavelet Transform and NARX Neural Networks

(2014) Xingguo Yang et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Applying a new localized generalization error model to design neural networks trained with extreme learning machine

(2014) Qiang Liu et al.   NEURAL COMPUTING & APPLICATIONS

Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level

(2014) Cheng Lian et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967–2006 using the discrete wavelet transform

(2013) D. Nalley et al.   ATMOSPHERIC RESEARCH

Monthly water quality forecasting and uncertainty assessment via bootstrapped wavelet neural networks under missing data for Harbin, China

(2013) Yi Wang et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method

(2013) Maheswaran Rathinasamy et al.   JOURNAL OF HYDROLOGY

Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran

(2013) Elham Fijani et al.   JOURNAL OF HYDROLOGY

The reference condition: predicting benchmarks for ecological and water-quality assessments

(2013) Charles P. Hawkins et al.   JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY

Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models

(2013) Mukesh K. Tiwari et al.   WATER RESOURCES RESEARCH

Effective Neural Network Ensemble Approach for Improving Generalization Performance

(2013) Jing Yang et al.   IEEE Transactions on Neural Networks and Learning Systems

Comparative study of different wavelets for hydrologic forecasting

(2012) R. Maheswaran et al.   COMPUTERS & GEOSCIENCES

Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)

(2012) D. Nalley et al.   JOURNAL OF HYDROLOGY

Study of short-term water quality prediction model based on wavelet neural network

(2012) Longqin Xu et al.   MATHEMATICAL AND COMPUTER MODELLING

A Cascaded Fuzzy Inference System for Indian river water quality prediction

(2011) S.S. Mahapatra et al.   ADVANCES IN ENGINEERING SOFTWARE

Estimation of water quality characteristics at ungauged sites using artificial neural networks and canonical correlation analysis

(2011) B. Khalil et al.   JOURNAL OF HYDROLOGY

A wavelet neural network conjunction model for groundwater level forecasting

(2011) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction

(2011) Shuangyin Liu et al.   MATHEMATICAL AND COMPUTER MODELLING

An efficient self-organizing RBF neural network for water quality prediction

(2011) Hong-Gui Han et al.   NEURAL NETWORKS

Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds

(2010) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting

(2010) Ozgur Kisi   WATER RESOURCES MANAGEMENT

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Wavelet regression model as an alternative to neural networks for monthly streamflow forecasting

(2009) Özgür Kişi   HYDROLOGICAL PROCESSES

Another look at statistical learning theory and regularization

(2009) Vladimir Cherkassky et al.   NEURAL NETWORKS

Monthly total sediment forecasting using adaptive neuro fuzzy inference system

(2009) Mahmut Firat et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

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

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

Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis

(2008) Jan F. Adamowski   JOURNAL OF HYDROLOGY

Adaptive Neuro-Fuzzy Inference System for drought forecasting

(2008) Ulker Guner Bacanli et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A support system for predicting eBay end prices

(2007) Dennis van Heijst et al.   DECISION SUPPORT SYSTEMS