摘要
模式识别是智能控制必不可少的一步。提出将改进的连续亨明方法与特征降维相结合，用于连续推钢式加热炉的智能控制，进行状态识别。研究结果表明，该方法识别正确率高，速度快，可用于实时在线控制。
Pattern recognition is one of the essensial steps in the intelligent control. The method which combines the improved continuous Hamming (ICHAM) with charactor demension reducing is proposed in this system. It is used for the pattern recognition of the intelligent control in the heating furnace. It is proved that this syStem has a high corrective rate and rapid speed, and can be used in the real-time and on-line control.
出处
《控制与决策》
EI
CSCD
北大核心
1996年第4期496-500,共5页
Control and Decision
基金
国家自然科学基金
关键词
加热炉
状态识别
模式识别
热工检测
state recognition
Hamming core
charactor demension reducing
heating furnace
