Generalized regression neural networks for municipal water consumption prediction

Abstract

This statement of retraction refers to the iFirst version of the paper that has since been removed from this site. A PDF version of the retracted article can be viewed in the Supplementary Content section of this article

Keywords:

• water consumption
• water demand
• water consumption prediction
• neural network
• GRNN

The Editor and Publishers Taylor & Francis are retracting the above article from publication in Journal of Statistical Computation and Simulation. This paper was previously published in online only form as part of Taylor & Francis’ iFirst service. Date of online publication 18 March 2009; DOI: 10.1080/00949650802676318. This article is now available as supplementary material at http://dx.doi.org/10.1080/00949650903520118.

The authors failed to cite, reference or properly acknowledge their previous work (see below), and to properly identify or quote extracts from that work which subsequently appeared in, and seemed original to the article (now retracted) in, Journal of Statistical Computation and Simulation.

The authors were, therefore, in breach of the rules of submission for Journal of Statistical Computation and Simulation, and of the warranty made to Taylor & Francis regarding originality. We note that the Editors of Journal of Statistical Computation and Simulation published the now retracted article in good faith.

Table

Article title:	Evaluation of artificial neural network techniques for municipal water consumption modeling
Author:	Mehmet Ali Yurdusev, Mahmut Firat and Mustafa Erkan Turan
Journal:	Water Resources Management
Bibliometrics:	Volume 23, 2009, pp. 617–632
DOI:	DOI: 10.1007/s11269-008-9291-3
Publisher:	Springer Science + Business Media

Taylor & Francis

March 2010