Development of a rainfall forecasting model for Sri Lanka using artificial feed-forward neural network

Dharmaratna, W.G.D.; Premarathna, L.D.

dc.contributor.author	Dharmaratna, W.G.D.
dc.contributor.author	Premarathna, L.D.
dc.date.accessioned	2024-03-26T08:17:44Z
dc.date.available	2024-03-26T08:17:44Z
dc.date.issued	2004-08-11
dc.identifier.issn	1391 - 8796
dc.identifier.uri	http://ir.lib.ruh.ac.lk/xmlui/handle/iruor/16630
dc.description.abstract	A rainfall forecasting model for Sri Lanka is constructed using artificial feed-forward back-propagation neural network. The data obtained from meteorological station in Colombo is used. The rainfall data with the humidity and atmospheric pressure measurements taken at the ground level are used to train the network. The preliminary results indicate that the model is successful in predicting rainy days one day ahead in Colombo area with the accuracy of 67%. The possibilities for further improvement of the model are discussed.	en_US
dc.language.iso	en	en_US
dc.publisher	Faculty of Science, University of Ruhuna Matara, Sri Lanka	en_US
dc.title	Development of a rainfall forecasting model for Sri Lanka using artificial feed-forward neural network	en_US
dc.type	Article	en_US