A5051857096- Stock Market Forecasting Methods
- Chaos control and synchronization
- Nonlinear Dynamics and Pattern Formation
- Time Series Analysis and Forecasting
- Complex Systems and Time Series Analysis
- Evolutionary Game Theory and Cooperation
- Neural Networks and Applications
- Neural Networks Stability and Synchronization
- Evolution and Genetic Dynamics
- Cognitive Science and Mapping
- Chaos-based Image/Signal Encryption
- Gene Regulatory Network Analysis
- Remote Sensing and LiDAR Applications
- Cellular Automata and Applications
- Cognitive Computing and Networks
- Advanced Steganography and Watermarking Techniques
- Mathematical and Theoretical Epidemiology and Ecology Models
- Fuzzy Logic and Control Systems
- Anomaly Detection Techniques and Applications
- Data Mining Algorithms and Applications
- 3D Surveying and Cultural Heritage
- Power Systems and Renewable Energy
- Opinion Dynamics and Social Influence
- stochastic dynamics and bifurcation
- Network Security and Intrusion Detection
Shandong Normal University
2016-2025
China Southern Power Grid (China)
2023-2024
Shandong Institute of Business and Technology
2024
China Academy of Engineering Physics
2024
Guangxi University
2024
Guangxi Academy of Sciences
2024
Lanzhou Jiaotong University
2024
Jiujiang University
2024
UNSW Sydney
2023
Fifth Affiliated Hospital of Xinjiang Medical University
2023
In this paper, a novel dynamic system, the fractional-order complex Chen is presented for first time. Dynamic behaviors of system are studied analytically and numerically. Different routes to chaos shown, diverse kinds motions identified exhibited by means bifurcation diagram, portrait phase largest Lyapunov exponent. Secondly, an application digital secure communication based on proposed, in which security enhanced continually switching different orders derivative irregular pattern....
Purpose Surface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing evolution surface quality through theoretical modeling takes lot effort. To predict milling processing, this paper aims to construct neural network based deep learning data augmentation. Design/methodology/approach This study proposes method consisting three steps. Firstly, machine tool multisource acquisition platform is established, which combines sensor...
When applying artificial intelligence technology to quantitative trading, high noise and unpredictability of market environment are the first practical problems be considered. Therefore, how select learning features based on rapidly changing financial data is particularly important. In this paper, real time processed by K-line theory, which uses candlesticks as a generalization price movements over period time, so process can play role de-noising. Then, decomposed into different subparts...