@inproceedings{f0d883bf26c34e83bd9e3b63104935ed,
title = "Stock Price Trend Prediction Model Based on Deep Residual Network and Stock Price Graph",
abstract = "Consider that people often use stock price graph to make decisions, this paper introduce a deep residual network (ResNet) model for prediction, using the stock price graph as input. The results show that the ResNet model has the average accuracy of 0.40, which is higher than the stochastic indicator of 0.33.",
keywords = "ResNet, Stock price graph, Stock price time series",
author = "Heng Liu and Bowen Song",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th International Symposium on Computational Intelligence and Design, ISCID 2018 ; Conference date: 08-12-2018 Through 09-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISCID.2018.10176",
language = "English",
series = "Proceedings - 2018 11th International Symposium on Computational Intelligence and Design, ISCID 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "328--331",
booktitle = "Proceedings - 2018 11th International Symposium on Computational Intelligence and Design, ISCID 2018",
address = "United States",
}