基于电子鼻传感器性能的互信息特征选择算法

Mutual information feature selection algorithm based on electronic nose sensor performance

当前的互信息特征选择算法为提高泛化性能而未对专一应用领域进行优化,电子鼻传感器阵列优化作为一类特殊的特征选择问题,使用传统算法难以搜索出最优的特征子集。结合气体传感器阵列特殊的冗余性和特有的敏感性,提出了一种基于电子鼻传感器性能的互信息特征选择算法并对阵列进行优化,通过两种不同的电子鼻公开数据集验证了传感器特性对识别精度的影响,证明了所提出算法的有效性。

In order to improve the generalization performance,most of the current mutual information feature selection algorithms have not optimized the specific application field,and electronic nose sensor array optimization is a special feature selection problem.It is difficult to search for the optimal feature subset using traditional algorithms.Combining the special redundancy and unique sensitivity of the gas sensor array,this paper proposes a mutual information feature selection optimization algorithm based on the performance of the electronic nose sensor.The influence of the sensor characteristics on the recognition accuracy is verified through two different electronic nose public data sets,which proved the effectiveness of the proposed algorithm.