Xu, Yu and Wang, Dan and Hao, Jianshu (2023) Stock Price Prediction Based on Shareholding Network Topology and LSTM Model. In: Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China.
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Abstract
In the stock market, stock price forecasting is important for investors' decisions. Due to the nonlinearity, high noise, and strong temporal variability of stock price data, tradi-tional methods have shortcomings in forecasting tasks. Since based on the structure and function of recurrent neural net
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:47 |
| Last Modified: | 17 Apr 2026 01:48 |
| URI: | http://eprints.eai.eu/id/eprint/45365 |
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