Stock Forecasting Model FS-LSTM Based on the 5G Internet of Things
Joint Authors
Li, Hui
Hua, Jinjin
Li, Jinqiu
Li, Geng
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper analyzed the development of data mining and the development of the fifth generation (5G) for the Internet of Things (IoT) and uses a deep learning method for stock forecasting.
In order to solve the problems such as low accuracy and training complexity caused by complicated data in stock model forecasting, we proposed a forecasting method based on the feature selection (FS) and Long Short-Term Memory (LSTM) algorithm to predict the closing price of stock.
Considering its future potential application, this paper takes 4 stock data from the Shenzhen Component Index as an example and constructs the feature set for prediction based on 17 technical indexes which are commonly used in stock market.
The optimal feature set is decided via FS to reduce the dimension of data and the training complexity.
The LSTM algorithm is used to forecast closing price of stock.
The empirical results show that compared with the LSTM model, the FS-LSTM combination model improves the accuracy of prediction and reduces the error between the real value and the forecast value in stock price prediction.
American Psychological Association (APA)
Li, Hui& Hua, Jinjin& Li, Jinqiu& Li, Geng. 2020. Stock Forecasting Model FS-LSTM Based on the 5G Internet of Things. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1214514
Modern Language Association (MLA)
Li, Hui…[et al.]. Stock Forecasting Model FS-LSTM Based on the 5G Internet of Things. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1214514
American Medical Association (AMA)
Li, Hui& Hua, Jinjin& Li, Jinqiu& Li, Geng. Stock Forecasting Model FS-LSTM Based on the 5G Internet of Things. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1214514
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214514