Recursive particle swarm optimization applications in radial basis function networks modeling system
- Resource Type
- Conference
- Authors
- Li, Baolei; Shi, Xinlin; Chen, Jianhua; An, Zhenzhou; Ding, Huawei; Wang, Xiaofeng
- Source
- 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI) Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on. 4:1777-1780 Oct, 2011
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Particle swarm optimization
Heuristic algorithms
Optimization
Radial basis function networks
Trajectory
Accuracy
Vectors
PSO
Recursive
Radial Basis Function Networks Modeling System
- Language
- ISSN
- 1948-2914
1948-2922
A novel strategy on particle swarm optimization is proposed to solve dynamic optimization problems, in which the data are obtained not once for all but one by one. The evolutionary states of the particle swarm are guided recursively by the proposed algorithm, according to the information achieved by the continuous data and the prior estimated knowledge on the solution space. The experimental results for three test functions show that radial basis function networks modeling system based on the proposed recursive algorithm requires fewer radial basis functions and gives more accurate results than other traditional improved PSO in solving dynamic problems.