基于粒子群ISODATA电梯交通模式识别

Elevator traffic pattern recognition based on particle swarm optimization iterative self-organizing data analysis algorithm

将粒子群算法与迭代自组织数据分析算法(ISODATA)结合,提出了一种基于粒子群的ISODATA算法。仿真实验表明,利用该算法可以对电梯交通模式进行准确、实时的识别。

The particle swarm optimization method and iterative self-organizing data analysis technics are combined to become a new clustering algorithm.The simulation experiment shows that the proposed algorithm can identify elevator traffic patterns accurately and has an excellent real-time performance.