Time Series Prediction Based on Random Convolution Kernel

Bing Su, Jie Yang, Nan Jiang, Jun Zheng*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the wake of fast transformation and growth of industrial manufacturing digitization, time series data recording important data of industrial machinery performance and functions has become a key fulcrum for processing and understanding industrial Internet of Things data. The prediction of time series data is an urgent problem in the industry. For the prediction of time series data in industry, the prediction accuracy of traditional machine learning methods is not high, and the training time of complex neural network models is too long to meet industrial needs. To solve this problem encountered in practical applications, this paper uses the Rocket method, which uses a simple linear regressor with random convolution kernels to achieve high accuracy with less computational cost. This method is improved in combination with the characteristics of the industrial dataset used, so that it has an acceptable high model prediction accuracy on the shield dataset. In this paper, we also selected four other time series datasets for evaluation, and our results show that Rocket and improvements to it exhibit higher overall accuracy and adaptability in regression than the state-of-the-art machine learning algorithm XGBoost and the recurrent neural network algorithm LSTM.

源语言英语
主期刊名Proceedings - 2023 International Conference on Intelligent Media, Big Data and Knowledge Mining, IMBDKM 2023
出版商Institute of Electrical and Electronics Engineers Inc.
25-30
页数6
ISBN(电子版)9781665492751
DOI
出版状态已出版 - 2023
活动2023 International Conference on Intelligent Media, Big Data and Knowledge Mining, IMBDKM 2023 - Changsha, 中国
期限: 17 3月 202319 3月 2023

出版系列

姓名Proceedings - 2023 International Conference on Intelligent Media, Big Data and Knowledge Mining, IMBDKM 2023

会议

会议2023 International Conference on Intelligent Media, Big Data and Knowledge Mining, IMBDKM 2023
国家/地区中国
Changsha
时期17/03/2319/03/23

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引用此

Su, B., Yang, J., Jiang, N., & Zheng, J. (2023). Time Series Prediction Based on Random Convolution Kernel. 在 Proceedings - 2023 International Conference on Intelligent Media, Big Data and Knowledge Mining, IMBDKM 2023 (页码 25-30). (Proceedings - 2023 International Conference on Intelligent Media, Big Data and Knowledge Mining, IMBDKM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMBDKM57416.2023.00012