Pattern Recognition Approach to Intelligent Automation for Complex Industrial Processes
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摘要: 對于那些無法用數學方程式表述的復雜生產過程,提出一種基于模式識別原理的智能自動化新方法.該方法的基本點在于:從信息的角度出發,采用特征變量來描述過程工況,再用時間序列分析法建立預測模型,從而實現工藝最優化.還介紹了專門為此目的研制的紅外線CCD熱成像裝置,并給出了建立預測模型的神經網絡算法.Abstract: 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.
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