Modelling reference evapotranspiration of Pantnagar using various training functions in artificial neural network
| dc.contributor.advisor | Kashyap, P.S. | |
| dc.contributor.author | Dumka, Basant Ballabh | |
| dc.date.accessioned | 2018-05-24T09:40:10Z | |
| dc.date.available | 2018-05-24T09:40:10Z | |
| dc.date.issued | 2017-06 | |
| dc.description.abstract | Evapotranspiration is the process by which water changes from a liquid to a gas or vapour in a cropfield. Evapotranspiration is one of the most significant hydrological processes that need to be quantified precisely for various purposes in agriculture and water resources. It plays an important role in proper planning, operation and management of available water resources, because a considerable amount of water is lost through evapotranspiration. The main objective of this study was to estimate climate based reference evapotranspiration on daily basis and develop the models using various training functions of Artificial Neural Network (ANNs). This chapter deals with the location and climate of study area, collection of meteorological data and methodology adopted for reference evapotranspiration estimation and modeling it using artificial neural networks for Pantnagar and criteria for evaluating performance of the models is also discussed here. The reference evapotranspiration in 5 years (2011-15) varies from 0.65 to 6.01 within 5 years. The Correlation Coefficient for testing data for LM function is 0.832, for GDM function is 0.976 and for OSS function is 0.981. One Step Secant training function produce the high value of correlation coefficient rather than Levenberg Marquardt. So it is considerd as best model. Gradient Descent with Momentum and One Step Secant training function are almost equally fitted. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810047423 | |
| dc.keywords | models, evapotranspiration, Uttarakhand, neural networks | en_US |
| dc.language.iso | en | en_US |
| dc.pages | 80 | en_US |
| dc.publisher | G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand) | en_US |
| dc.research.problem | Neural Networks | en_US |
| dc.sub | Soil and Water Engineering | en_US |
| dc.subject | null | en_US |
| dc.these.type | M.Tech | en_US |
| dc.title | Modelling reference evapotranspiration of Pantnagar using various training functions in artificial neural network | en_US |
| dc.type | Thesis | en_US |