caa a22 4500 445837616 CHVBK 20180317145334.0 cr unu---uuuuu 170323e20110101xx s 000 0 eng 10.1007/s00271-010-0230-8 doi (NATIONALLICENCE)springer-10.1007/s00271-010-0230-8 Artificial neural networks approach in evapotranspiration modeling: a review [Elektronische Daten] [M. Kumar, N. Raghuwanshi, R. Singh] The use of artificial neural networks (ANNs) in estimation of evapotranspiration has received enormous interest in the present decade. Several methodologies have been reported in the literature to realize the ANN modeling of evapotranspiration process. The present review discusses these methodologies including ANN architecture development, selection of training algorithm, and performance criteria. The paper also discusses the future research needs in ANN modeling of evapotranspiration to establish this methodology as an alternative to the existing methods of evapotranspiration estimation. Springer-Verlag, 2010 Kumar M. Division of Resource Management, Central Research Institute for Dryland Agriculture, 500 059, Hyderabad, Andhra Pradesh, India aut Raghuwanshi N. Agricultural and Food Engineering Department, Indian Institute of Technology, 721 302, Kharagpur, West Bengal, India aut Singh R. Agricultural and Food Engineering Department, Indian Institute of Technology, 721 302, Kharagpur, West Bengal, India aut Irrigation Science Springer-Verlag 29/1(2011-01-01), 11-25 0342-7188 29:1<11 2011 29 271 https://doi.org/10.1007/s00271-010-0230-8 text/html Onlinezugriff via DOI 1 review-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00271-010-0230-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kumar M. Division of Resource Management, Central Research Institute for Dryland Agriculture, 500 059, Hyderabad, Andhra Pradesh, India aut NATIONALLICENCE 700 1- Raghuwanshi N. Agricultural and Food Engineering Department, Indian Institute of Technology, 721 302, Kharagpur, West Bengal, India aut NATIONALLICENCE 700 1- Singh R. Agricultural and Food Engineering Department, Indian Institute of Technology, 721 302, Kharagpur, West Bengal, India aut NATIONALLICENCE 773 0- Irrigation Science Springer-Verlag 29/1(2011-01-01), 11-25 0342-7188 29:1<11 2011 29 271 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer