Application of the batch incremental clustering algorithm for Coke Oven Intelligent Control

The paper discusses the batch incremental clustering algorithm in the application 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.