The Proceedings of The Computational Mechanics Conference
Online ISSN : 2424-2799
2015.28
Session ID : 183
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183 Improvement of Stock Price forecast Algorithm Using Bayesian Network
Hiroshi KITADAAyaka TSUGETomotaka SUGAIEisuke KITA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
The stock price prediction using Bayesian network has been presented by some researches. Their results showed that the prediction algorithm using Bayesian network has good prediction accuracy, This paper presents the improved algorithm in which the prediction accuracy of Nikkei stock average is enhanced by using NASDAQ index data. The accuracy of the present algorithm is compared with the precious algorithms in order to confirm the validity.
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© 2015 The Japan Society of Mechanical Engineers
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