Development of Generalized Higher-Order Synaptic Neural–Based ETo Models for Different Agroecological Regions in India-Reference-Cited by-同舟云学术

Development of Generalized Higher-Order Synaptic Neural–Based ETo Models for Different Agroecological Regions in India

Published:2014-12 Issue:12 Volume:140 Page:04014038
ISSN:0733-9437
Container-title:Journal of Irrigation and Drainage Engineering
language:en
Short-container-title:J. Irrig. Drain Eng.

Author:

Adamala S.¹,Raghuwanshi N. S.²,Mishra A.³,Tiwari M. K.⁴

Affiliation:

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

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.

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

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IR.1943-4774.0000784

Reference41 articles.

1. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

2. Evapotranspiration modeling using second-order neural networks;Adamala S.;J. Hydrol. Eng.,2013

3. Allen R. G. Pereira L. S. Raes D. and Smith M. (1998). “Crop evapotranspiration: Guidelines for computing crop water requirements.” FAO Irrigation and Drainage Paper No. 56 Rome Italy.

4. Rational Use of The FAO Blaney‐Criddle Formula

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

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalization Ability of Bagging and Boosting Type Deep Learning Models in Evapotranspiration Estimation;Water;2024-08-08

2. Application of artificial neural networks for BOD and COD modelling in Gola River, Uttarakhand, India;Arabian Journal of Geosciences;2021-07

3. Short-term flood forecasting using artificial neural networks, extreme learning machines, and M5 model tree;Advances in Streamflow Forecasting;2021

4. Nonlinear Evapotranspiration Modeling Using Artificial Neural Networks;Advanced Evapotranspiration Methods and Applications;2019-04-03

5. Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt;Engineering Applications of Computational Fluid Mechanics;2019-01-01