Discussions and Closures
Jun 15, 2012

Closure to “Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms” by Jan Adamowski and Christina Karapataki

Publication: Journal of Hydrologic Engineering
Volume 17, Issue 7
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Acknowledgments

We would like to thank the Cyprus Institute in Nicosia, Cyprus, which financed this research project.

References

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MathWorks. (2011). R2011a documentation, neural network toolbox, Mathworks, Natick, MA.
Schmid, M. D. (2009). “A neural network package for Octave user’s guide version 0.1.9.1.” 〈http://www.plexso.com/61_octave/neuralNetworkPackageForOctaveUsersGu.pdf〉.
Sudheer, K. P., Gosain, A. K., and Ramasastri, K. S. (2002). “A data-driven algorithm for constructing artificial neural network rainfall-runoff models.” Hydrol. ProcessesHYPRE3, 16(6), 1325–1330.
Wanas, N., Auda, G., Kamel, M. S., and Karray, F. (2002). “On the optimal number of hidden nodes in a neural network.” Proc., IEEE Canadian Conf. on Electrical and Computer Engineering, 2, IEEE, New York, 918–921.

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Published In

Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 17Issue 7July 2012
Pages: 834 - 836

History

Received: Jun 8, 2011
Accepted: Jun 29, 2011
Published online: Jun 15, 2012
Published in print: Jul 1, 2012

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Authors

Affiliations

Christina Karapataki [email protected]
Student, Dept. of Chemical Engineering, Univ. of Cambridge, Pembroke St., Cambridge CB2 3RA, U.K. E-mail: [email protected]
Jan Adamowski [email protected]
Assistant Professor, Dept. of Bioresource Engineering, McGill Univ., Macdonald Campus, 21 111 Lakeshore Rd., Ste. Anne de Bellevue, QC, Canada H9X 3V9 (corresponding author). E-mail: [email protected]

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