The role of neural networks in industrial metrology
This article aims to explore the role of neural networks in the field of industrial metrology.Firstly,the basic principles and characteristics of neural networks were introduced,as well as their application advantages in industrial metrology.Subsequently,specific application cases of neural networks in industrial metrology were elaborated in detail from three aspects:sensor calibration,process parameter modeling,and quality control,and their advantages and disadvantages were analyzed.On this basis,the advantages and existing problems of neural networks in industrial metrology are summarized,and the future development trend of neural networks in this field is prospected.Through the research in this article,we can see that neural networks have great potential and broad application prospects in in-dustrial metrology,but at the same time,further improvement and optimization are also needed.
neural networkindustrial metrologynonlinear modelingdata analysisquality control
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