您的位置：首页 > Artificial Neural Networks for Electronic Nose Measurement of Odor
Artificial Neural Networks for Electronic Nose Measurement of Odor
简介：T.Li，Q.Zhang，R.York Abstract：Artificial neural networks were developed to analyze odor data collected with an electronic nose (e-nose). N-butanol was used as the test odorant and measured with an Alpha MOS Fox 3000 e-nose equipped with 12 metal oxide sensors. The artificial neural networks were coded in JAVA and the back-propagation algorithm was employed for network training. Networks with different numbers of hidden units and initial weights were experimented and optimized. 关键词：odor n-butanol electronic nose neural networks backpropagation algorithm
文档信息
- 分享者：1191647501@qq.com
- 格式：pdf 页数：未知
- 积分下载：0
- 该文档为在线分享文档
- 如要投诉违规内容，请拨打023-63111052
-
该分享者还上传了：
