.png){kind=icon}
返回
Pattern recognition analysis of optical sensor array data to detect nitroaromatic compound vapors
.png){kind=icon}
PRE
AI
DOI：10.1016/S0925-4005(01)00781-X.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A fiber optic-based sensor array has been employed to determine the presence or absence of nitroaromatic compound (NAC) vapors in variable backgrounds of volatile organic compound (VOC) vapors. The system is based on previously developed cross-reactive array technology and employs a sensor array attached to the distal. tips of an optical fiber bundle. Four different sensors, with 50 replicates of each type, were used to computationally train the system to detect and recognize the presence of explosives-like NAC vapors. Two of the NACs were employed because they are commonly detected on the soil surface above buried 2,4,6-trinitrotoluene plastic land mines. Based on fluorescent responses, samples in an external prediction set were classified with 100% accuracy using models trained to determine if NAC vapors were present. Additionally, models were developed with one of the three NAC vapors held out of the training process, but included in the prediction set. In all three models, over 92% of samples in an external prediction set were classified correctly. (C) 2001 Elsevier Science BN. All rights reserved.
Keyword:
genetic algorithm
pattern recognition
cross-reactive sensors
optical sensors
sensor arrays
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.7
论文数:
3.4W
被引数:
12.6W
机构
暂无机构信息
引用论文
SO(10)SUSY GUT for fermion masses: Lepton flavor andCPviolationSO(10) fermion质量的SUSY GUT: lepton flavor和 CP 违例
OAAI
OAAI分享收藏Use of compatible polymer blends to fabricate arrays of carbon black-polymer composite vapor detectors.png)
ANALYTICAL CHEMISTRY
ANALYTICAL CHEMISTRYIF6.7
PREAI
分享收藏
查看更多内容