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Modelling and Simulation in Engineering
Volume 2014, Article ID 635018, 10 pages
Research Article

An Assessment of a Proposed Hybrid Neural Network for Daily Flow Prediction in Arid Climate

Department of Hydraulic and Hydrology, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310 Johor, Johor Bahru, Malaysia

Received 28 May 2013; Revised 9 November 2013; Accepted 20 November 2013; Published 6 February 2014

Academic Editor: Dariusz J. Gawin

Copyright © 2014 Milad Jajarmizadeh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • C. Chandre Gowda, and S. G. Mayya, “Comparison of Back Propagation Neural Network and Genetic Algorithm Neural Network for Stream Flow Prediction,” Journal of Computational Environmental Sciences, vol. 2014, pp. 1–6, 2014. View at Publisher · View at Google Scholar
  • Milad Jajarmizadeh, Lariyah Mohd Sidek, Sobri Harun, Shamsuddin Shahid, and Hidayah Basri, “Comparison of a Hybrid Neural Network and Semi-distributed Simulator for Stream Flow Prediction,” Isfram 2015, pp. 115–127, 2016. View at Publisher · View at Google Scholar