中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与物... [1]
自动化研究所 [1]
合肥物质科学研究院 [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [1]
学位论文 [1]
期刊论文 [1]
发表日期
2022 [1]
2010 [1]
2007 [1]
学科主题
筛选
浏览/检索结果:
共3条,第1-3条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Progress in Research on VOC Molecule Recognition by Semiconductor Sensors
期刊论文
OAI收割
ACTA PHYSICO-CHIMICA SINICA, 2022, 卷号: 38
作者:
Liu, Hongyu
;
Meng, Gang
;
Deng, Zanhong
;
Li, Meng
;
Chang, Junqing
  |  
收藏
  |  
浏览/下载:81/0
  |  
提交时间:2022/01/10
Metal oxide semiconductor
Gas sensor
E-nose
Thermal modulation
Pattern recognition
Machine learning
Convolutional neural network
二型模糊系统及其控制方法研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:
李成栋
收藏
  |  
浏览/下载:100/0
  |  
提交时间:2015/09/02
二型模糊系统
神经网络
单输入规则模块
遗传算法
先验知识
词计算
感知推理方法
type-2 fuzzy logic system
neural network
single input rule module
genetic algorithm
prior knowledge
computing with words
perceptual reasoning
BP neural network application on surface temperature measurement system based on colorimetry (EI CONFERENCE)
会议论文
OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
作者:
Sun Z.-Y.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
Measurement of the features of infrared radiation is very important for the precaution and discrimination of missiles
and relevant research is worthy in military application. The measurement of target's surface temperature is the foundation of infrared radiation characteristics measurement. The principle and configuration of target's surface temperature measurement system based on colorimetry is introduced
the measurement model is deduced and the processes of temperature measurement are presented. Least-square method and back-propagation neural network method are both used to deal with the demarcating data. Compared with the least-square method
Back-propagation neural network has more advantages
such as high precision
good applicability and so on.