KEYWORDS: Manufacturing, Data modeling, Information fusion, Semantics, Data processing, Instrument modeling, Image processing, Information visualization, Process modeling, Modeling
Manufacturing companies nowadays are dealing with a huge amount of data in manufacturing process. However, they are facing the problem that these data collected from equipment and production management system often have unclear hierarchies and inconsistent representations. To improve the convenience of data processing, the paper proposed a method using knowledge graph to express hierarchical and internal relationships of manufacturing data. Also with trend and correlation analysis being conducted, potential patterns of these data were found and organized into knowledge. Finally, the summarized knowledge were added to the basic knowledge graph to accumulate knowledge in manufacturing process.
KEYWORDS: Neural networks, Education and training, Data modeling, Genetic algorithms, Internet, Evolutionary algorithms, Dielectrics, Data processing, Signal attenuation, Quality control
Impedance control is hard and important for high frequency Printed Circuit Board (PCB). The paper introduces a BP-GA algorithm that applies the optimization on the iteration process of weight parameters during the training process. The results shows that the model has a good performance in impedance prediction of PCB. The RMSE and SSE of this model are 4.083 and 7.003*e3, respectively.
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