Monthly rainfall modelling using ANN for central Telangana region

dc.contributor.advisorDevendra Kumar
dc.contributor.authorKota Spandana
dc.date.accessioned2019-01-29T04:10:13Z
dc.date.available2019-01-29T04:10:13Z
dc.date.issued2018-06
dc.description.abstractIn the present study, artificial neural network technique has been employed to predict monthly rainfall for Medak, Khammam and Warangal stations of Central Telangana, India. Eighty five years of rainfall data (January, 1901 to December, 1985) were used for training of models and twenty eight years of rainfall data (January, 1986 to December, 2014) were used for testing of models. Gamma test, autocorrelation function and cross correlation function were used for selection of appropriate input variables. The ANN models were trained using multilayer perceptron with two learning rules i.e. Levenberg-Marquardt and Delta-bar-delta and two transfer functions viz. sigmoid axon and Tanh axon. The performance of the models was evaluated qualitatively by visual observation and quantitatively by using different performance indices viz. Root Mean Square Error, Correlation Coefficient, Coefficient of Efficiency, Percent Bias and Integral Square Error. It was observed that the better results of monthly rainfall prediction of developed models were observed when the rainfall data of adjoining stations were used as the input variable as compared the lagged rainfall of the same station. The higher value of Correlation Coefficient and Coefficient of Efficiency and lower value of Integral Square Error, Percent Bias and Root Mean Square Error suggest that the M-8 model, K-7 model and W-5 may be used to predict monthly rainfall of Medak, Khammam and Warangal stations respectively for Central Telangana region.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810092754
dc.keywordsrain, models, neural networks, Telanganaen_US
dc.language.isoenen_US
dc.pages135en_US
dc.publisherG.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)en_US
dc.research.problemNeural Networksen_US
dc.subSoil and Water Engineeringen_US
dc.subjectnullen_US
dc.themeRainen_US
dc.these.typeM.Techen_US
dc.titleMonthly rainfall modelling using ANN for central Telangana regionen_US
dc.typeThesisen_US
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