PMANet: a time series forecasting model for Chinese stock price prediction
W Zhu, W Dai, C Tang, G Zhou, Z Liu, Y Zhao - Scientific Reports, 2024 - nature.com
Forecasting stock movements is a crucial research endeavor in finance, aiding traders in
making informed decisions for enhanced profitability. Utilizing actual stock prices and …
making informed decisions for enhanced profitability. Utilizing actual stock prices and …
Deciphering laser shock peening quality monitoring: Wavelet-driven network with interpretability
Quality monitoring of laser shock peening based on acoustic emission technology is a
topical multidisciplinary issue that has received much attention in recent years. To acquire …
topical multidisciplinary issue that has received much attention in recent years. To acquire …
Multi level perspectives in stock price forecasting: ICE2DE-MDL
This study proposes a novel hybrid model, called ICE2DE-MDL, integrating secondary
decomposition, entropy, machine and deep learning methods to predict a stock closing …
decomposition, entropy, machine and deep learning methods to predict a stock closing …
Deep learning-based GoogLeNet-embedded no-pooling dimension fully-connected network for short-term wind power prediction
P **e, Y Liu, Q Lu, X Lin, Y Yang… - Systems Science & Control …, 2024 - Taylor & Francis
The dependence of wind power on the natural environment leads to volatility, which can
cause hidden dangers to the safe and stable operation of the power grid. In this work, a …
cause hidden dangers to the safe and stable operation of the power grid. In this work, a …
[HTML][HTML] A stock market decision-making framework based on CMR-DQN
X Chen, Q Wang, C Hu, C Wang - Applied Sciences, 2024 - mdpi.com
In the dynamic and uncertain stock market, precise forecasting and decision-making are
crucial for profitability. Traditional deep neural networks (DNN) often struggle with capturing …
crucial for profitability. Traditional deep neural networks (DNN) often struggle with capturing …
Metaverse Dynamics: Predictive Modeling of Roblox Stock Prices using Time Series Analysis and Machine Learning
SA Ghaffar, WC Setiawan - International Journal Research on Metaverse, 2024 - ijrm.net
Stock price prediction is a critical task in finance and investment, enabling investors to make
informed decisions and capitalize on market opportunities. This paper explores the …
informed decisions and capitalize on market opportunities. This paper explores the …
Predicting stock prices for Chinese performing arts companies using genetic algorithm-based backpropagation neural networks
B Liu, D Zhou, Y Zhang, H **e… - Journal of Computational …, 2024 - content.iospress.com
Due to China's thriving economy and culture, the performing arts sector has grown
remarkably. To study its development, this study has examined the closing prices of …
remarkably. To study its development, this study has examined the closing prices of …