A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows
dc.contributor.author
Wei, Shouke
dc.contributor.author
Yang, Hong
dc.contributor.author
Song, Jinxi
dc.contributor.author
Abbaspour, Karim C.
dc.contributor.author
Xu, Zongxue
dc.date.accessioned
2019-06-21T14:30:49Z
dc.date.available
2017-06-10T15:08:14Z
dc.date.available
2019-06-21T14:30:49Z
dc.date.issued
2013
dc.identifier.issn
0262-6667
dc.identifier.issn
2150-3435
dc.identifier.other
10.1080/02626667.2012.754102
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/64900
dc.language.iso
en
en_US
dc.publisher
Taylor & Francis
en_US
dc.subject
instream flow
en_US
dc.subject
Wavelet-neural network
en_US
dc.subject
Levenberg-Marquardt
en_US
dc.subject
Bayesian regularization
en_US
dc.title
A wavelet-neural network hybrid modelling approach for estimating and predicting river monthly flows
en_US
dc.type
Journal Article
dc.date.published
2013-06-10
ethz.journal.title
Hydrological Sciences Journal
ethz.journal.volume
58
en_US
ethz.journal.issue
2
en_US
ethz.journal.abbreviated
Hydrol. Sci. J.
ethz.pages.start
374
en_US
ethz.pages.end
389
en_US
ethz.identifier.wos
ethz.identifier.nebis
000033091
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-10T15:12:09Z
ethz.source
ECIT
ethz.identifier.importid
imp59365071c304a97127
ethz.ecitpid
pub:103235
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-15T02:13:16Z
ethz.rosetta.lastUpdated
2019-06-21T14:30:57Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20wavelet-neural%20network%20hybrid%20modelling%20approach%20for%20estimating%20and%20predicting%20river%20monthly%20flows&rft.jtitle=Hydrological%20Sciences%20Journal&rft.date=2013&rft.volume=58&rft.issue=2&rft.spage=374&rft.epage=389&rft.issn=0262-6667&2150-3435&rft.au=Wei,%20Shouke&Yang,%20Hong&Song,%20Jinxi&Abbaspour,%20Karim%20C.&Xu,%20Zongxue&rft.genre=article&rft_id=info:doi/10.1080/02626667.2012.754102&
Files in this item
| Files | Size | Format | Open in viewer |
|---|---|---|---|
|
There are no files associated with this item. |
|||
Publication type
-
Journal Article [136169]