A method of information acquisition and processing for modelling complex production processes

机译：一种用于建模复杂生产过程的信息获取和处理方法

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In studies of complex industrial production control systems, especially distributed parameter production processes, it is very difficult to build the strict mathematical model in terms of mechanism analyses. This paper, from the angle of information science, trying to bypass the mechanism analyses, extracts the features of image sequences obtained by the computer vision detection system. It describes the complex industrial production control system by the eigenvectors not the state vectors, which lays the foundations for predicting and judging the working situation or product quality based on a dynamical neural network.

机译：在研究复杂的工业生产控制系统，特别是分布式参数生产过程中，很难从机理分析的角度建立严格的数学模型。本文从信息科学的角度，尝试绕过机理分析，提取了计算机视觉检测系统获得的图像序列的特征。它通过特征向量而不是状态向量来描述复杂的工业生产控制系统，为基于动态神经网络的预测和判断工作状况或产品质量奠定了基础。

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来源
《Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on》|1997年|P.805-808|共4页
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Shang-Ming Zhou; Xi-Di Zhang;
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中图分类无线电电子学、电信技术;
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A method of information acquisition and processing for modelling complex production processes

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