利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
为了说明卡尔曼滤波递推算法的应用方法，制作了北京1993年1月份逐日最低气温36小时预报。
In order to describe the application of the recursive algorithm of KF, a daily minimum temperature up to 36h ahead has been made for Beijing city for the period from 1 to 30 Jan. 1993.
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