Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

24 May 2015Lei ZhangDavid Zhang

This paper addresses an important issue, known as sensor drift that behaves a nonlinear dynamic property in electronic nose (E-nose), from the viewpoint of machine learning. Traditional methods for drift compensation are laborious and costly due to the frequent acquisition and labeling process for gases samples recalibration... (read more)

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