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http://krishi.icar.gov.in/jspui/handle/123456789/33225| Title: | Artificial neural networks approach in evapotranspiration modeling |
| Other Titles: | Artificial neural networks approach in evapotranspiration modeling |
| Authors: | ICAR_CRIDA |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR_CRIDA |
| Published/ Complete Date: | 2011 |
| Project Code: | Not Available |
| Keywords: | artificial ,neural, networks (ANNs) , estimation ,evapotranspiration, received, enormous, interest, present ,decade |
| Publisher: | Raghuwanshi, N S |
| Citation: | Not Available |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Abstract 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 |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Technical Report |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | A review. Irrigation Science |
| Volume No.: | 29(1) |
| Page Number: | 11-25 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | Not Available |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/33225 |
| Appears in Collections: | NRM-CRIDA-Publication |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 14 Artificial neural networks approach in evapotranspiration modeling A review. Irrigation Science2010-11.pdf | 369.75 kB | Adobe PDF | View/Open |
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