Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models
Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models
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Publisher
Dordrecht: Springer Netherlands
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Language
English
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Dordrecht: Springer Netherlands
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Contents
Accurate predicting of lake level fluctuations is essential and basic in water resources management for water supply purposes. The predicting of lake level is complicated because of it is affected by nonlinear hydrological processes. This paper applies integrated wavelet and auto regressive moving average (ARMA), adaptive neuro fuzzy inference syst...
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Full title
Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models
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TN_cdi_proquest_miscellaneous_1855383643
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1855383643
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ISSN
0920-4741
E-ISSN
1573-1650
DOI
10.1007/s11269-015-1147-z