会议专题

Application of The Batch Incremental Clustering Algorithm for Coke Oven Intelligent Control

The paper discusses the batch incremental clustering algorithm in the apUication for Coke Oven Intelligent Control. By analyzing new data by bulk incremental clustering algorithm, the fuzzy control rule base will be updated. And then, the simulating models for gas collector pressure system and its control system is established under the condition of software MATLAB. The simulating result with the control effect of the fuzzy control rules gotten by experience induction is compared, which proves the method to be rational and feasible.

Clustering algorithm Gas-collector pressure fuzzy control rule Simulation analysis

Chen Yuliang Zhao Wei Li Zhigang

College of Light Industry Hebei Polytechnic University TangShan China 063009 College of Computer and automatic Control Hebei Polytechnic University

国际会议

The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

沈阳

英文

586-589

2010-03-27(万方平台首次上网日期,不代表论文的发表时间)