A comparative study of the forecasting bility of Backpropagation Artificial Neural Network Models with Learning Rate Adaptation for Colombo Stock Market

dc.contributor.author	Nandani, E.J.K.P.
dc.contributor.author	Wedagedara, J.R.
dc.date.accessioned	2022-12-12T05:56:59Z
dc.date.available	2022-12-12T05:56:59Z
dc.date.issued	2011-01
dc.identifier.citation	Nandani E.J.K.P. and Wedagedara, J.R., (2011), A comparative study of the forecasting bility of Backpropagation Artificial Neural Network Models with Learning Rate Adaptation for Colombo Stock Market, Proceedings of 8th Science Symposium, Faculty of Science,University of Ruhuna, Matara, Sri Lanka	en_US
dc.identifier.uri	http://ir.lib.ruh.ac.lk/xmlui/handle/iruor/9764
dc.description.abstract	A stock market is one of the fundamental types of financial markets. The stock market can also be thought of as a highly complex and adaptive system. Financial indices defined on stock prices are used as indicators of the economical trend of a country. Forecasting the behavior of the stock market is at primary concern not only of the business community but also of policy makers of a country.	en_US
dc.language.iso	en	en_US
dc.publisher	Faculty of Science, University of Ruhuna, Sri Lanka	en_US
dc.subject	Back-propagation	en_US
dc.subject	Forecasting	en_US
dc.subject	Neural Network	en_US
dc.subject	Stock Market	en_US
dc.title	A comparative study of the forecasting bility of Backpropagation Artificial Neural Network Models with Learning Rate Adaptation for Colombo Stock Market	en_US
dc.type	Article	en_US