Training data for parts quotation

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Abstract 

To obtain the prices of parts from the manufacturing characteristics and other manufacturing processes, feature quantity expression is innovatively applied. By identifying manufacturing features and calculating the feature quantities, the feature quantities are described in the form of assignments as data. To obtain the prices of parts intelligently, the most widely used and mature deep-learning method is adopted to realize the accurate quotation of parts

Instructions: 

The deep-learning method was used to realize the quotation of parts. A CNN was used to learn a large amount of CSV data with characteristic quantities