Data filtering method for failure detection of mine catalytic combustible gas sensor based on BP neural network-Reference-Cited by-同舟云学术

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Data filtering method for failure detection of mine catalytic combustible gas sensor based on BP neural network

Published:2022-03 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)
language:
Short-container-title:

Author:

Bowen Wang¹

Affiliation:

1. China Coal Technology Engineering Group Chongqing Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9852496/9852487/09852617.pdf?arnumber=9852617

Reference10 articles.

1. A High Order ALE Discontinuous Galerkin Method for Solving Compressible Euler Equations [A];yu;Abstracts of 6th China-Brazil Conference on Scientific Computing [C],2019

2. Research on Landing Control for UAV Helicopter Based on Two-Stages Guidance Strategy

3. A handheld mid-infrared methane sensor using a dual-step differential method for additive/multiplicative noise suppression

4. Predicting China's Economic Running State Using Machine Learning

5. Experimental Study on Random Dynamic Load Identification Using GRU Neural Network [A];kang;Abstracts of the 8th International Conference on Vibration Engineering (ICVE 2021),2021

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1. Application of t-SNE and PSO-BPNN for Identification of Penetration State in Ship GMAW;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

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