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A Novel Industrial Big Data Fusion Method Based on Q-learning and Cascade Classifier

Xi Zhang¹, Jiyue Wang², Ying Huang³ and Feiyue Zhu²

1. School of Mechanical Engineering, Zhengzhou University of Science and Technology
   Zhengzhou 450064 China
   zhangxi 9534@163.com
2. School of Vehicle and Traffic Engineering, Zhengzhou University of Science and Technology
   Zhengzhou 450064 China
   wangjiyue004@126.com
3. School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology
   Zhengzhou 450064 China
   huangying_hy31@163.com

Abstract

The traditional industrial big data fusion algorithm has low efficiency and difficulty in processing high-dimensional data, this paper proposes a Q-learning-based cascade classifier model for industrial big data fusion. By combining cascade classifier and softmax classifier, feature extraction and data attribute classification of source industrial big data are completed in this cluster. In order to improve the classification rate, an improved Q-learning algorithm is proposed, which makes the improved algorithm randomly select actions in the early stage, and dynamically change in the late stage in the random selection of actions and actions with the highest reward value. It effectively improves the defects of traditional Q-learning algorithm that it is easy to fall into the local optimal and has slow convergence speed. The experimental results show that compared with other advanced fusion algorithms, the proposed method can greatly reduce the network energy consumption and effectively improve the efficiency and accuracy of data fusion under the same data volume.

Key words

industrial big data fusion, Q-learning, cascade classifier, feature extraction

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS240314051Z

Publication information

Volume 21, Issue 4 (September 2024)
Year of Publication: 2024
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

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How to cite

Zhang, X., Wang, J., Huang, Y., Zhu, F.: A Novel Industrial Big Data Fusion Method Based on Q-learning and Cascade Classifier. Computer Science and Information Systems, Vol. 21, No. 4, 1629–1649. (2024), https://doi.org/10.2298/CSIS240314051Z