基于动态特征重要度的电子鼻传感器阵列优化方法

An effective gas sensor array optimization method based on dynamic feature importance

气体传感器阵列的优化是电子鼻领域亟需解决的关键问题之一,同时也是一种特殊的特征选择问题.本文结合特征相关性和特征重要度,提出了一种有效的新型传感器(特征)重要性衡量方法--动态特征重要度,并在此基础上提出了一种新的基于动态特征重要度的电子鼻传感器阵列优化算法SAO DFI.通过对两种不同的气体环境下采集的数据进行分析,测试了重复传感器、传感器(特征)重要度、传感器(特征)相关性以及传感器特征参数对SAO DFI算法的影响,其优化结果证明了该阵列优化算法的有效性、鲁棒性和可解释性.

Gas sensor array optimization is a key problem in the field of electronic noses,and it is also a special feature selection problem.In this paper,we propose a novel measure of sensor(or feature)importance,named dynamic feature importance,based on feature correlation and feature importance.Also,we propose an effective electronic nose sensor array optimization algorithm SAO DFI based on the dynamic feature importance.We analyze the effects of repeated sensors,sensor(or feature)importance,sensor(or feature)correlation,and sensor characteristic parameters,based on the proposed SAO DFI algorithm using data collected in two different gas environments.The optimization results demonstrate the effectiveness,robustness,and interpretability of the array optimization algorithm.