摘要
对于那些无法用数学方程式表述的复杂生产过程,提出一种基于模式识别原理的智能自动化新方法.该方法的基本点在于:从信息的角度出发,采用特征变量来描述过程工况,再用时间序列分析法建立预测模型,从而实现工艺最优化.还介绍了专门为此目的研制的红外线 CCD 热成像装置,并给出了建立预测模型的神经网络算法.
A new intelligent automation method on the basis of pattern recognition is proposed in situations that no mathematical equations are available to depict complex industrial processes.From information point of view the essence of this method is first to describe a process by use of feature vaeiables,and then establish prdiction model via time series analysis to provide useful information for process optimization.An infrared CCD thermovision system is introduced to fulfill the goal mentioned above and in order to establish the prediction model an algorithm based on neural network is provided as well.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
1998年第4期385-389,共5页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金资助课题(No.69472023)
关键词
模式识别
计算机视觉检测
智能自动化
神经网络
dynamic pattern recognition
computer vision detection system
intelligent automation
neural network
