Gate Recurrent Unit for Efficient Industrial Gas Identification

Ding Wang

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arXiv · 2406.16997

Gate Recurrent Unit for Efficient Industrial Gas Identification

Ding Wang

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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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Ding Wang. 2024-06-24. Gate Recurrent Unit for Efficient Industrial Gas Identification. https://arxiv.org/abs/2406.16997

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