Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM

Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM

To enable quick and accurate detection of formaldehyde emissions from wood-based panels and to address the complexities of the full-scale chamber method and the inaccuracy of sensor-based methods, a modified formaldehyde emission model based on AdaBoost-MSBKA-SVMD-HKELM (AMSHKELM) is proposed. This...

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Bibliographic Details
Main Authors: Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Formaldehyde emission detection
full-scale chamber
multi-strategy black-winged kite algorithm
successive variational mode decomposition
adaptive boosting
interval prediction
Online Access:https://ieeexplore.ieee.org/document/10663759/
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https://ieeexplore.ieee.org/document/10663759/

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