計算力学講演会講演論文集
Online ISSN : 2424-2799
セッションID: 183
会議情報
183 ベイジアンネットワークによる株価予測モデルの改良について
北田 宙士柘植 綾香菅井 友駿北 栄輔
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会議録・要旨集 フリー

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抄録
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 一般社団法人 日本機械学会
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