A5000255937- Stock Market Forecasting Methods
- Market Dynamics and Volatility
- Complex Systems and Time Series Analysis
- Energy Load and Power Forecasting
- Rough Sets and Fuzzy Logic
- Wireless Sensor Networks and IoT
- Data Mining Algorithms and Applications
- Financial Markets and Investment Strategies
- Grey System Theory Applications
- Advanced Sensor and Control Systems
Xi'an Jiaotong University
2025
Xidian University
2020-2023
Xi’an University of Posts and Telecommunications
2011-2020
A simple two-step approach was proposed to obtain hBN thin films with high crystalline quality, meaning that the were initially prepared by using an RF magnetron sputtering technique and subsequently followed a post-annealing process at temperature. In case of introducing Al2O3 nanoparticles, effects annealing temperature from 1000 °C 1300 time 0.5 h 1.5 on recrystallization grown systematically studied XRD SEM technologies. The introduction impurities during successfully reduced transition...
Abstract In recent years, due to the non-stationary behavior of data samples, modeling and forecasting stock price has been challenging for business community researchers. order address these mentioned issues, enhanced machine learning algorithms can be employed establish algorithms. Accordingly, introducing idea “decomposition ensemble” theory “granular computing”, a hybrid model in this paper is established by incorporating complementary ensemble empirical mode decomposition (CEEMD),...
In the era of big data, impact massive public opinion information generated by Internet on securities market has become a factor that can't be ignored in investment decision-making and supervision. Under influence these factors, investors are influenced restricted psychology, self-cognition limited attention, which will make them pay different attention to stocks, spread market, then have an performance individual stocks. This paper selects data's from websites, authoritative media data...