Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/4766
Title: 13-Prediction of Rainfall in West Bengal for the Next Two Years.
Authors: Choudhury, J. Pal
Chakrabrty, Kalyan
Keywords: Rainfall
Fuzzy Time Series
Neural Network
Forecasting Error
Average Error
Issue Date: 2009
Publisher: Allied Publishers Pvt. Ltd., New Delhi
Abstract: The rainfall plays a major role in agricultural field that generates various agricultural products that generates revenue through marketing not only in Indian market, but also through export in foreign markets. It also affects the economic and financial condition of the state and the country. If the information related to rainfall is available before time, the planners of the state in various fields find it easy to perform their work in various fields related to them. In this paper an effort has been made to predict the rainfall in the state West Bengal in the next two years. Prediction is made based on previous years available data, The method of least square using linear, exponential, curvilinear(parabolic) equation, using orthogonal polynomial and using neural network have been used.
URI: http://117.252.14.250:8080/jspui/handle/123456789/4766
Appears in Collections:Proceedings of the International Conference on Water, Environment, Energy and Society (WEES-2009), 12-16 January 2009 at New Delhi, India, Vol.-1

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