Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …

J Adamowski, H Fung Chan, SO Prasher… - Water resources …, 2012 - Wiley Online Library
Daily water demand forecasts are an important component of cost‐effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …

[PDF][PDF] Comparison of multiple linear

J Adamowski, HF Chan, SO Prasher, B Ozga-Zielinski… - 2012 - researchgate.net
Citation: Adamowski, J., H. Fung Chan, SO Prasher, B. Ozga-Zielinski, and A. Sliusarieva
(2012), Comparison of multiple linear and nonlinear regression, autoregressive integrated …

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …

J Adamowski, CHF Chan HiuFung, SO Prasher… - 2012 - cabidigitallibrary.org
Daily water demand forecasts are an important component of cost-effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …

J Adamowski, HF Chan, SO Prasher… - Water Resources …, 2012 - search.proquest.com
Daily water demand forecasts are an important component of cost-effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …

J Adamowski, H Fung Chan… - Water Resources …, 2012 - ui.adsabs.harvard.edu
Daily water demand forecasts are an important component of cost-effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …

[PDF][PDF] Comparison of multiple linear

J Adamowski, HF Chan, SO Prasher, B Ozga-Zielinski… - 2012 - mcgill.ca
Citation: Adamowski, J., H. Fung Chan, SO Prasher, B. Ozga-Zielinski, and A. Sliusarieva
(2012), Comparison of multiple linear and nonlinear regression, autoregressive integrated …

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network …

J Adamowski, HF Chan, SO Prasher… - Water Resources …, 2012 - search.ebscohost.com
Daily water demand forecasts are an important component of cost-effective and sustainable
management and optimization of urban water supply systems. In this study, a method based …

[PDF][PDF] Comparison of multiple linear

J Adamowski, HF Chan, SO Prasher, B Ozga-Zielinski… - 2012 - mcgill.ca
Citation: Adamowski, J., H. Fung Chan, SO Prasher, B. Ozga-Zielinski, and A. Sliusarieva
(2012), Comparison of multiple linear and nonlinear regression, autoregressive integrated …