[1]YANG Weikai,WANG Yan.A design of an improved self-organizing mapping method based on a knowledge reasoning framework[J].CAAI Transactions on Intelligent Systems,2023,18(5):926-935.[doi:10.11992/tis.202107013]
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A design of an improved self-organizing mapping method based on a knowledge reasoning framework
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
18
Number of periods:
2023 5
Page number:
926-935
Column:
学术论文—机器学习
Public date:
2023-09-05
- Title:
- A design of an improved self-organizing mapping method based on a knowledge reasoning framework
- Keywords:
- knowledge reasoning; predicting; self-organized mapping; smart manufacturing; map matching; confidence; hyperbolic space; winning unit
- CLC:
- TP274
- DOI:
- 10.11992/tis.202107013
- Abstract:
- In the rapidly developing world of Internet technologies, a vast amount of process knowledge data is generated in the smart manufacturing process. To effectively utilize this data and master it, we propose an improved self-organizing mapping algorithm within the framework of knowledge reasoning. The improved algorithm screens and optimizes the process knowledge data in the knowledge base using collaborative training, enhancing the anti-localization ability of the winning unit. The improved self-organizing mapping algorithm judges the knowledge reasoning criteria of the winning feature unit and selects sample data with high confidence through the mapping of vector space and the use of the hyperbolic space distance formula. Multiple cycles of screening are carried out to further improve the utilization of feature information and enhance the effective prediction of process knowledge data. Through the modeling and simulation of actual milling process data, the proposed method demonstrates its strong predictive and optimized performance when faced with multi-sample data.
- References:
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1900-01-01