LDA优化电子鼻传感器阵列的研究

摘要

Six milk drinks which with different sugar-acid ratios were identified by electronic nose, and the signals were analyzed by linear discriminant analysis(LDA) to discover the optimization of sensor array. Compared a range of optimization results by above method, the best result which can achieve better classification by fewer sensors. This investigation may provide a new idea and method for optimize sensor array in electronic nose system.%利用PEN3电子鼻系统对6个糖酸比不同的乳饮料样品进行检测,采用线性判别分析(LDA)对传感器响应值进行分析,确定优化传感器阵列方法,并将各优化结果进行对比,最终确定阵列优化结果,使电子鼻可以用更少的传感器达到更好的分类效果,为电子鼻传感器阵列优化提供了新的思路和方法.