PSO parameter values.

PSO parameter values.

<div><p>Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual...

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Bibliographic Details
Main Author: Xiaohua Zeng (793632) (author)
Other Authors: Changzhou Liang (13262354) (author), Qian Yang (300330) (author), Fei Wang (19534) (author), Jieping Cai (13262351) (author)
Published: 2025
Subjects:
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
time series data
strong optimization capabilities
historical time signals
gradual loss reduction
efficient swarm intelligence
different retrospective periods
challenging research domain
lstm &# 8217
widely employed
term dependence
superior performance
prediction accuracy
manual tuning
long short
hybrid lstm
good convergence
experimental results
comparative analysis
address long
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