Domain Transfer Broad Learning System for Long-Term Drift Compensation in Electronic Nose Systems

The long-term sensor drift phenomenon seriously restricts the performance of Electronic Nose (E-nose) systems in their various applications. Due to frequent recalibrations, traditional drift compensation methods are costly and laborious, and their performance are limited due to the nonlinear dynamic...

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Bibliographic Details
Main Authors: Bei Liu, Xiaoping Zeng, Fengchun Tian, Shuya Zhang, Leilei Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8846675/