An Optimized Hybrid Deep Learning Model with Dung Beetle Optimizer for Stock Price Prediction

Wu, Yafei

An Optimized Hybrid Deep Learning Model with Dung Beetle Optimizer for Stock Price Prediction

Wu, Yafei (2023) An Optimized Hybrid Deep Learning Model with Dung Beetle Optimizer for Stock Price Prediction. 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

Stock prices are known to vary nonlinearly, which makes stock price forecasting quite difficult. Therefore linear models cannot accurately predict frequently fluctuating stock prices; instead, nonlinear models such as gated recurrent unit (GRU) and temporal convolutional network (TCN) tend to outper

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/45341

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