School of Mathematics, Physics and Statistics; Jing Zhou
Recently,the research result "A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism " published in the journal “Mathematics” (JCR SCI Zone 1 journal) under the guidance of Prof. Li Lu has been selected as an ESI highly cited paper for 2023-2024.
The paper focuses on the unit structure design of neural networks, and the fusion attention mechanism proposes a variant of the fusion attention mechanism, the LSTM model, and also presents the backpropagation algorithm. The model has made new breakthroughs in robustness, accuracy and running speed, and provides a new perspective solution when applied to the field of quantification, which is of great theoretical value and practical guiding significance.
