Multi level perspectives in stock price forecasting: ICE2DE-MDL

This study proposes a novel hybrid model, called ICE2DE-MDL, integrating secondary decomposition, entropy, machine and deep learning methods to predict a stock closing price. In this context, first of all, the noise contained in the financial time series was eliminated. A denoising method, which uti...

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書誌詳細

主要な著者:	Zinnet Duygu Akşehir, Erdal Kılıç
フォーマット:	Artigo
言語:	Inglês
出版事項:	PeerJ Inc. 2024-06-01
シリーズ:	PeerJ Computer Science
主題:	Denoising approach Deep learning Mode decomposition ICEEMDAN Stock price prediction Financial time series
オンライン･アクセス:	https://peerj.com/articles/cs-2125.pdf
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