Zheyu He
Papers
1
Total Citations
2
H-Index
1
About
Dr. Zheyu He is a computational intelligence researcher whose work bridges optimization algorithms and health assessment technologies. His primary research areas include swarm intelligence, adaptive systems, and neural network optimization, with a particular focus on applying particle swarm optimization (PSO) to physical exercise health evaluation. Dr. He’s most notable contribution lies in his development of a chaos-adaptive particle swarm algorithm, which enhances the Radial Basis Function Neural Network (RBFNN) model by introducing a nonlinear adaptive inertia weight mechanism based on population diversity. This innovation improves the convergence and accuracy of optimization in complex health assessment tasks. While his 2022 paper has garnered 2 citations, his work represents an important step in integrating evolutionary computation with practical health monitoring systems. Dr. He’s research demonstrates a commitment to refining classical algorithms for real-world applications, offering valuable insights for students and researchers interested in the intersection of metaheuristic optimization, machine learning, and biomedical informatics.
Research Focus
Key Achievements
Top Papers
- 1Chaos Adaptive Particle Swarm for Physical Exercise Health Assessment2 citations · 2022