| 微气体传感器阵列及神经网络的应用 |
| |
| 引用本文： | 邓俊泳,冯勇建,吴青海. 微气体传感器阵列及神经网络的应用[J]. 传感器与微系统, 2002, 21(8): 44-46 |
| |
| 作者姓名： | 邓俊泳 冯勇建 吴青海 |
| |
| 作者单位： | 1. 厦门大学,机电工程系,福建,厦门,361005
2. Case,Western,Reserve,University,USA |
| |
| 摘 要： | 简要分析由MEMS工艺制成的新型微气体传感器阵列的原理及其优点 ,在此基础上 ,应用人工神经网络对气体传感器阵列的输出进行模式分类、识别 ,实现对单一或混合气体的有选择性探测 ,识别率可高达 95 %。
|
| 关 键 词： | MEMS工艺 微气体传感器阵列 人工神经网络 |
| 文章编号： | 1000-9787(2002)08-0044-03 |
| 修稿时间： | 2002-03-06 |
Micro gas sensor array and application of artifical neural network |
| |
| DENG Jun-yong ,FENG Yong-jian ,WU Qing-hai. Micro gas sensor array and application of artifical neural network[J]. Transducer and Microsystem Technology, 2002, 21(8): 44-46 |
| |
| Authors: | DENG Jun-yong FENG Yong-jian WU Qing-hai |
| |
| Affiliation: | DENG Jun-yong 1,FENG Yong-jian 1,WU Qing-hai 2 |
| |
| Abstract: | The principle and advantage of micro gas sensor array made by MEMS technology is analyzed summarily, and based on it, arithmetic of BP neural network is applied to classify the electronic nose's outputs and judge what the gases are.Not only single gas, but also mixed gases can be recognized selectively,with a high discernment 95%. |
| |
| Keywords: | MEMS process micro gas sensor array artificial neural network(ANN) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
