Research on lifelong learning method for intelligent diagnosis of rail transit equipment

Yu Cao; Gaofeng Xu

doi:10.1117/12.3004550

16 August 2023 Research on lifelong learning method for intelligent diagnosis of rail transit equipment

Yu Cao, Gaofeng Xu

Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 1278718 (2023) https://doi.org/10.1117/12.3004550
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China

Abstract

With the gradual maturity of statistical machine learning, it is now time to break the traditional model of isolated learning and turn to lifelong learning, pushing machine learning to a new level. Applications such as intelligent assistants, chat robots, and physical robots are also in urgent need of this lifelong learning ability. Without the ability to accumulate knowledge and use it to gradually learn more, a system may never be truly intelligent. Continuous learning algorithms attempt to achieve the same capabilities for neural networks and solve catastrophic forgetting problems. Therefore, in essence, continuous learning performs incremental learning for new tasks.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yu Cao and Gaofeng Xu "Research on lifelong learning method for intelligent diagnosis of rail transit equipment", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 1278718 (16 August 2023); https://doi.org/10.1117/12.3004550

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