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Self-updating continual learning classification method based on artificial immune system

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Abstract

Currently, major classification methods belong to batch learning methods, which need to obtain all data once before learning. However, in practice, it is usually difficult to handle all samples at once for samples are obtained gradually at different periods. Unfortunately, research on continual learning study is deficiency and remains to be improved. In this work, a self-updating continual learning classification method (SU-CLCM) is proposed, according to the sophisticated continual learning mechanism of biological immune system. In SU-CLCM, the self-updating cell division strategy overcomes the irrational cell strategies; SU-CLCM takes the advantage of super memory cells and totipotent stem cells with self-updating cell weight so that different types of cell edge are more distinguishable; SU-CLCM can improve the result of high-dimensional data processing. Experiments demonstrated on 20 UCI repository datasets compared with intelligent classification methods and artificial immune methods with continual learning ability to corroborate the highlights of SU-CLCM. Ultimately, a dataset of actual compressor valve fault is employed to verify the effectiveness and superiority of the proposed method.

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Data availability

https://doi.org/10.24433/CO.4245521.v1

Code availability

https://doi.org/10.24433/CO.4245521.v1

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Funding

This work was sponsored by the National Natural Science Foundation of China (Grant No. 52075310).

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Authors and Affiliations

  1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, Peoples, Republic of China

    Xin Sun, Haotian Wang, Shulin Liu & Haihua Xiao

  2. School of Petroleum Engineering, Changzhou University, Changzhou, 213164, Peoples, Republic of China

    Dong Li

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  1. Xin Sun
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  3. Shulin Liu
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Contributions

Xin Sun: Methodology, Conceptualization, Writing – original draft. HaoTian Wang: Software, Writing – original draft. Shulin Liu: Funding acquisition, Writing – review& editing, Validation. Dong Li: Supervision, Software, Writing – review& editing, Validation. Haihua Xiao: Validation, Writing – review& editing.

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Correspondence to Haotian Wang.

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Sun, X., Wang, H., Liu, S. et al. Self-updating continual learning classification method based on artificial immune system. Appl Intell 52, 12817–12843 (2022). https://doi.org/10.1007/s10489-021-03123-6

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