Reply to comments on "Evaporation estimation using artificial neural networks and adaptive neurofuzzy inference system techniques" by A. Moghaddamnia, M. Ghafari Gousheh, J. Piri, S. Amin and D. Han [Adv. Water Resour. 32 (2009) 88-97]

Advances in Water Resources

Volumn 32, Issue 6, 2009, Pages 967-968

  Han, D ^a   Moghaddamnia, A ^b  

^a Faculty of Engineering   (United Kingdom)

^b UNIVERSITY OF ZABOL   (Iran)

Author keywords

Adaptive neurofuzzy inference system; Artificial neural networks; Evaporation; Gamma test; Input data selection

Indexed keywords

EID: 67349093923     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2009.02.012     Document Type: Letter

References (4)

1. Bray M., and Han D. Identification of support vector machines for runoff modelling. J Hydroinformatics 6 4 (2004) 265-280
2. Han D., Kwong T., and Li S. Uncertainties in real-time flood forecasting with neural networks. Hydrol Process 21 (2007) 223-228 10.1002/hyp.6184
3. Han D., Chan L., and Zhu N. Flood forecasting using support vector machines. J Hydroinformatics 9 4 (2007) 267-276 10.2166/hydro.2007.027
4. Moghaddamniaa A., Ghafari Goushehb M., Piric J., Amind S., and Han D. Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques. Adv Water Resour 32 1 (2009) 88-97 10.1016/j.advwatres.2008.10.005