Improved higher lead time river flow forecasts using sequential neural network with error updating (English)
- New search for: Prakash, Om
- New search for: Sudheer, K.P.
- New search for: Srinivasan, K.
- New search for: Prakash, Om
- New search for: Sudheer, K.P.
- New search for: Srinivasan, K.
In:
Journal of Hydrology and Hydromechanics
;
62
, 1
;
60-74
;
2014
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ISSN:
- Article (Journal) / Print
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Title:Improved higher lead time river flow forecasts using sequential neural network with error updating
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Contributors:
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Published in:Journal of Hydrology and Hydromechanics ; 62, 1 ; 60-74
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Publisher:
- New search for: De Gruyter Open
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Place of publication:Warsaw
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Publication date:2014
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Size:15 Seiten, 61 Quellen
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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Keywords:
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Source:
Table of contents – Volume 62, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Comparative study of long-term water uptake of Norway spruce and Douglas-fir in Moravian uplandNadezhdina, Nadezhda / Urban, Josef / Cermak, Jan / Nadezhdin, Valeriy / Kantor, Petr et al. | 2014
- 7
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Parameter estimation of soil hydraulic and thermal property functions for unsaturated porous media using the HYDRUS-2D codeNakhaei, Mohammad / Simunek, Jiri et al. | 2014
- 16
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On the internal boundary layer related wind stress curl and its role in generating shallow lake circulationsJozsa, Janos et al. | 2014
- 24
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Wavelet based deseasonalization for modelling and forecasting of daily discharge series considering long range dependenceSzolgayova, Elena / Arlt, Josef / Blöschl, Günter / Szolgay, Jan et al. | 2014
- 33
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Modelling the impact of increasing soil sealing on runoff coefficients at regional scale: a hydropedological approachUngaro, Fabrizio / Calzolari, Costanza / Pistocchi, Alberto / Malucelli, Francesco et al. | 2014
- 43
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Analysis of efficiency of pollution reduction measures in rural basin using MIKE Basin model. Case study: Olšava River BasinKaiglova, Jana / Langhammer, Jakub et al. | 2014
- 55
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Analysis of the time series of waste water quality at the inflow of the wastewater treatment plant and transfer functionsNesmerak, Ivan / Blazkova, Sarka D. et al. | 2014
- 60
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Improved higher lead time river flow forecasts using sequential neural network with error updatingPrakash, Om / Sudheer, K.P. / Srinivasan, K. et al. | 2014
- 75
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On the effect of cross sectional shape on incipient motion and deposition of sediments in fixed bed channelsSafari, Mir-Jafar-Sadegh / Mohammadi, Mirali / Gilanizadehdizaj, Golezar et al. | 2014
- 82
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A system-theory-based model for monthly river runoff forecasting: model calibration and optimizationWu, Jianhua / Qian, Hui / Li, Peiyue / Song, Yanxun et al. | 2014