Intraday Stock Trading Strategy Based on Analysis Using Bidirectional Long Short-Term Memory Networks
P Pholsri, P Kantavat - … on Artificial Intelligence and Big Data …, 2023 - ieeexplore.ieee.org
The issuance of stocks constitutes a means by which ownership in a company is
represented, and its distribution may vary depending on whether the company is limited or …
represented, and its distribution may vary depending on whether the company is limited or …
SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation
H Abudukelimu, J Chen, Y Liang, A Abulizi, A Yasen - Applied Intelligence, 2024 - Springer
In this study, we explore to address challenges related to incorrect scores, inconsistent
rhythm and labeling in the generation of symbolic music scores, with a focus on the …
rhythm and labeling in the generation of symbolic music scores, with a focus on the …
Estimating Stock Price Based on Information from Financial Statements Using Long Short-Term Memory Network
T Kunathananon, P Kantavat - 2023 6th International …, 2023 - ieeexplore.ieee.org
This study introduces a new tool for stock market investors and institutions constructed from
Long Short-Term Memory (LSTM) for predicting stock prices. Traditional methods for stock …
Long Short-Term Memory (LSTM) for predicting stock prices. Traditional methods for stock …
Impact of System Initial Values on Multivariate LSTM Neural Network Performance: A Finding from a Control Process Perspective
Nowadays, artificial intelligence (AI) has made significant contributions to the identification
and modeling of physical systems across a wide range of scientific disciplines. However …
and modeling of physical systems across a wide range of scientific disciplines. However …