Erratum to: Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy (Water Resour Manage, 10.1007/s11269-012-0089-y)

Salvatore Campisi-Pinto; Jan Adamowski; Gideon Oron

doi:10.1007/s11269-012-0122-1

Erratum to: Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy (Water Resour Manage, 10.1007/s11269-012-0089-y)

Salvatore Campisi-Pinto
, Jan Adamowski
, Gideon Oron

Research output: Contribution to journal › Comment/debate

7 Scopus citations

Original language	English
Pages (from-to)	319-321
Number of pages	3
Journal	Water Resources Management
Volume	27
Issue number	1
DOIs	https://doi.org/10.1007/s11269-012-0122-1
State	Published - 1 Jan 2013

ASJC Scopus subject areas

Civil and Structural Engineering
Water Science and Technology

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10.1007/s11269-012-0122-1

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title = "Erratum to: Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy (Water Resour Manage, 10.1007/s11269-012-0089-y)",

author = "Salvatore Campisi-Pinto and Jan Adamowski and Gideon Oron",

year = "2013",

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doi = "10.1007/s11269-012-0122-1",

language = "English",

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journal = "Water Resources Management",

issn = "0920-4741",

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T2 - Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy (Water Resour Manage, 10.1007/s11269-012-0089-y)

AU - Campisi-Pinto, Salvatore

AU - Adamowski, Jan

AU - Oron, Gideon

PY - 2013/1/1

Y1 - 2013/1/1

UR - https://www.scopus.com/pages/publications/84871403204

U2 - 10.1007/s11269-012-0122-1

DO - 10.1007/s11269-012-0122-1

M3 - Comment/debate

AN - SCOPUS:84871403204

SN - 0920-4741

VL - 27

SP - 319

EP - 321

JO - Water Resources Management

JF - Water Resources Management

IS - 1

ER -

Erratum to: Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy (Water Resour Manage, 10.1007/s11269-012-0089-y)

ASJC Scopus subject areas

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