Discussion of “Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique” by K. P. Sudheer, A. K. Gosain, and K. S. Ramasastri-Reference-Cited by-同舟云学术

Discussion of “Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique” by K. P. Sudheer, A. K. Gosain, and K. S. Ramasastri

Published:2005-04 Issue:2 Volume:131 Page:219-220
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Kisi Özgür¹²,Yildirim Gürol¹²

Affiliation:

1. Assistant Professor, Erciyes Univ., Engineering Faculty, Civil Eng. Dept., 38039 Kayseri, Turkey.

2. Research Assistant, Istanbul Technical Univ., Civil Eng. Dept., Hydraulics Div., 34469 Maslak, Istanbul, Turkey.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Agricultural and Biological Sciences (miscellaneous),Water Science and Technology,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9437%282005%29131%3A2%28219%29

Reference12 articles.

1. Artificial Neural Networks in Hydrology. II: Hydrologic Applications

2. Orthogonal least squares learning algorithm for radial basis function networks

3. Runoff Forecasting Using RBF Networks with OLS Algorithm

4. Moisture Availability and Crop Production

5. Reference Crop Evapotranspiration from Temperature

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