Title :
Research of Improved GM(1,1) Model Based on Particle Swarm
Author :
Li Jing ; Mu Xiao-dong ; Shi Ling ; Xiong Bin
Author_Institution :
Xian Res. Inst. of Hi-Tech Hongqing Town, Xian
Abstract :
Grey theory has been applied widely in the field of prediction and decision, but model precision is influenced extremely by sequence smooth degree, boundary value and background value. Particle swarm has well effect in searching for best result because it is an efficient way. The paper advances a new method, improved particle swarm is used to optimize the boundary value and background value of GM(1,1) model, and sin function is used to deal with sequence. It has been shown that the improved model is better through predicting the lifetime of mechanical products.
Keywords :
boundary-value problems; grey systems; mechanical products; operations research; particle swarm optimisation; reliability theory; remaining life assessment; boundary value problem; grey theory; model precision; particle swarm; sequence smooth degree; sin function; Accuracy; Biochemistry; Cities and towns; Mechanical products; Optimization methods; Particle swarm optimization; Prediction algorithms; Predictive models; 1) Model; Background Value; Boundary Value; Metabolism GM(1; Particle Swarm;
Conference_Titel :
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3330-8
DOI :
10.1109/ICACC.2009.63
