Particle swarm optimization (PSO) algorithm is adopted to optimize the center of fuzz K-means (FKM) with kernel function, which is used to classify the temperature of blast furnace.

• 摘要提出了一种高炉炉温分类辨识的方法PSO-K-FKM，该方法采用基于核函数改进的模糊K均值聚类，利用粒子群对聚类中心寻优。