A comparative study of the forecasting bility of Backpropagation Artificial Neural Network Models with Learning Rate Adaptation for Colombo Stock Market
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A comparative study of the forecasting bility of Backpropagation Artificial Neural Network Models with Learning Rate Adaptation for Colombo Stock Market
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
Date:2011-01
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.
