Evapotranspiration Modeling Using Second-Order Neural Networks-Reference-Cited by-同舟云学术

Evapotranspiration Modeling Using Second-Order Neural Networks

Published:2014-06 Issue:6 Volume:19 Page:1131-1140
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Adamala Sirisha¹,Raghuwanshi N. S.²,Mishra Ashok³,Tiwari Mukesh K.⁴

Affiliation:

1. Research Scholar, Agricultural and Food Engineering Dept., Indian Institute of Technology, Kharagpur, West Bengal 721302, India.

2. Professor, Agricultural and Food Engineering Dept., Indian Institute of Technology, Kharagpur, West Bengal 721302, India.

3. Associate Professor, Agricultural and Food Engineering Dept., Indian Institute of Technology, Kharagpur, West Bengal 721302, India (corresponding author).

4. Assistant Professor, Soil and Water Engineering Dept., College of Agricultural Engineering and Technology, Anand Agricultural Univ., Godhra, Gujarat 389001, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000887

Reference41 articles.

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2. Infilling Missing Daily Evapotranspiration Data Using Neural Networks

3. Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration

4. Allen R. G. Pereira L. S. Raes D. and Smith M. (1998). “Crop evapotranspiration: Guidelines for computing crop water requirements.” Irrigation and drainage paper no. 56. FAO Rome.

5. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

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