An Efficient Collision Detection of Complex Deformable Objects Based on Particle Swarm Optimization Algorithm

2006 ◽  
Author(s):  
Yi Wang ◽  
Wen-hui Li ◽  
Tian-zhu Wang ◽  
Wu Guo ◽  
Zhen-hua Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Collision Detection ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Deformable Objects ◽  
Swarm Optimization

RFID Anti-Collision Method Based on Particle Swarm Optimization and Support Vector Machine

2012 ◽  
Vol 170-173 ◽  
pp. 3398-3401
Author(s):  
Wen Ge Zhao
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Collision Detection ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Support Vector ◽  
Detection Accuracy ◽  
Swarm Optimization ◽  
Detection Technology

RFID anti-collision method based on particle swarm optimization and support vector machine is presented in the paper. Support vector machine is a new detection technology,which is applied to RFID anti-collision detection. Particle swarm optimization algorithm is applied to choose the appropriate parameters of support vector machine. Particle swarm optimization algorithm can make the particle move toward the optimal resolution based on the history best experiences of each particle and global best position in swarm.The proposed RFID anti-collision structure is mainly composed of protocol processing module, interface module, RFID anti-collision method and serial-parallel conversion.The testing results show that RFID collision detection accuracy of particle swarm optimization and support vector machine than that of traditional support vector machine and BP neural network.

Sign in / Sign up

Export Citation Format

Share Document