Research on technology of part capability type recognition based on knowledge learning

Haijun Yin; Jiahui Li; Hongyan Zhou; Yuning Wang; Xi Li

doi:10.1117/12.2674970

2 May 2023 Research on technology of part capability type recognition based on knowledge learning

Haijun Yin, Jiahui Li, Hongyan Zhou, Yuning Wang, Xi Li

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264228 (2023) https://doi.org/10.1117/12.2674970
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

By making deep analysis on the big data information of historical product, the technology of structured data classification based on deep learning can form knowledge for part capability type recognition and judgment, build a model of capability type recognition on the basis of deep neural network, and also develop a software system of capability type automatic recognition ,for assisting the recognition of part capability type. For part newly imported into the system, combined with its attached attribute information, this technology can automatically identify and recommend the capacity type, and forms a set of knowledge-based method for the recognition and judgment of part capacity type.

Citation Download Citation

Haijun Yin, Jiahui Li, Hongyan Zhou, Yuning Wang, and Xi Li "Research on technology of part capability type recognition based on knowledge learning", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264228 (2 May 2023); https://doi.org/10.1117/12.2674970

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