• May 27, 2016 News!The submission for Special Issue is officially open now!   [Click]
  • May 03, 2016 News!Vol.6, No.6 has been indexed by EI (Inspec).   [Click]
  • Mar 17, 2017 News!Vol.9, No.2 has been published with online version. 13 peer reviewed articles from 4 specific areas are published in this issue.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(1): 51-53 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.424

Evaporation Estimation Using Artificial Neural Network

Pankaj Kumar and Ajai Kumar Tiwari

Abstract—Precise estimation of potential evaporation, has a great significance in many water resources applications such as management of hydrologic, hydraulic and agricultural systems. Although there are empirical formulas available for Evaporation estimation, but their performances are not all satisfactory due to the complex nature of the evaporation process and the data availability. For this purpose, artificial neural networks (ANN) models was developed to estimate monthly potential evaporation in Pantagar, US Nagar (India) based on four instructive climatic factors. Observations of relative humidity, solar radiation, temperature, wind speed and evaporation for the past 19 years and 8 months (total 236 months) have been used to train and test the developed models. Results shown that the model was able to well learn the events they were trained to recognize. These encouraging results were supported by high values of coefficient of correlation and low mean square errors. The correlation coefficient was found 0.9236 and root mean square error was 0.9863 for testing data sets.

Index Terms—Artififial neural network, evoporation estimation, prediction

Authors are with the VCSG College of Horticulture, GBPUA&T Pantnagar-246123, India (e-mail: pankaj591@gmail.com, drajaitiwari_7@rediffmail.com).

[PDF]

Cite: Pankaj Kumar and Ajai Kumar Tiwari, "Evaporation Estimation Using Artificial Neural Network," International Journal of Computer Theory and Engineering vol. 4, no. 1, pp. 51-53, 2012.

Copyright © 2008-2015. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@vip.163.com