Gate Recurrent Unit for Efficient Industrial Gas Identification

Ding Wang
6/24/2024
cs.LGcs.AI

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Abstract

In recent years, gas recognition technology has received considerable attention. Nevertheless, the gas recognition area has faced obstacles in implementing deep learning-based recognition solutions due to the absence of standardized protocols. To tackle this problem, we suggest a new GRU. Compared to other models, GRU obtains a higher identification accuracy.

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Cite this paper

@article{wang2024gate,
  title  = {Gate Recurrent Unit for Efficient Industrial Gas Identification},
  author = {Ding Wang},
  year   = {2024},
  eprint = {2406.16997},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.16997v2}
}

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