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http://hdl.handle.net/10119/3948
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Title: | An Adaptive BP Learning Algorithm for Stock Market Prediction |
Authors: | Kin, Keung Lai Lean, Yu Shouyang, Wang |
Keywords: | Adaptive learning BPNN optimal learning rate stock market prediction |
Issue Date: | Nov-2005 |
Publisher: | JAIST Press |
Abstract: | In this study, a novel adaptive learning algorithm for back-propagation neural network (BPNN) based on optimized instantaneous learning rates is proposed. In this new algorithm, the optimized adaptive learning rates are used to adjust the weight changes dynamically. For illustration and testing purposes the proposed algorithm is applied to stock market prediction. |
Description: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2158, Kobe, Japan Symposium 3, Session 7 : Intelligent Information Technology and Applications Computational Intelligence (1) |
Language: | ENG |
URI: | http://hdl.handle.net/10119/3948 |
ISBN: | 4-903092-02-X |
Appears in Collections: | IFSR 2005
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