Intelligent recognition of the true temperature and spectral emissivity

Xiao Gang Sun; Jing Min Dai; Da Cheng Cong; Zai Xiang Chu

Intelligent recognition of the true temperature and spectral emissivity

Xiao Gang Sun^*
, Jing Min Dai
, Da Cheng Cong
, Zai Xiang Chu

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Based on neural network technique, a new method without emissivity assumption was presented. The experimental results show that the twice recognition method based on neural network technique can automatically recognize the true temperature and spectral emissivity, and can be a practical method for simultaneously measurement.

Original language	English
Pages (from-to)	1355-1357
Number of pages	3
Journal	Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Volume	35
Issue number	9
State	Published - Sep 2001

Keywords

Emissivity
Least square method
Multispectral thermometry
Neural network
True temperature

Cite this

@article{6e2836b09f1f42c69585ed971fd24fa3,

title = "Intelligent recognition of the true temperature and spectral emissivity",

abstract = "Based on neural network technique, a new method without emissivity assumption was presented. The experimental results show that the twice recognition method based on neural network technique can automatically recognize the true temperature and spectral emissivity, and can be a practical method for simultaneously measurement.",

keywords = "Emissivity, Least square method, Multispectral thermometry, Neural network, True temperature",

author = "Sun, \{Xiao Gang\} and Dai, \{Jing Min\} and Cong, \{Da Cheng\} and Chu, \{Zai Xiang\}",

year = "2001",

month = sep,

language = "英语",

volume = "35",

pages = "1355--1357",

journal = "Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University",

issn = "1006-2467",

publisher = "Shanghai Jiaotong University",

number = "9",

}

TY - JOUR

T1 - Intelligent recognition of the true temperature and spectral emissivity

AU - Sun, Xiao Gang

AU - Dai, Jing Min

AU - Cong, Da Cheng

AU - Chu, Zai Xiang

PY - 2001/9

Y1 - 2001/9

N2 - Based on neural network technique, a new method without emissivity assumption was presented. The experimental results show that the twice recognition method based on neural network technique can automatically recognize the true temperature and spectral emissivity, and can be a practical method for simultaneously measurement.

AB - Based on neural network technique, a new method without emissivity assumption was presented. The experimental results show that the twice recognition method based on neural network technique can automatically recognize the true temperature and spectral emissivity, and can be a practical method for simultaneously measurement.

KW - Emissivity

KW - Least square method

KW - Multispectral thermometry

KW - Neural network

KW - True temperature

UR - https://www.scopus.com/pages/publications/0035453592

M3 - 文章

AN - SCOPUS:0035453592

SN - 1006-2467

VL - 35

SP - 1355

EP - 1357

JO - Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

JF - Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

IS - 9

ER -

Intelligent recognition of the true temperature and spectral emissivity

Abstract

Keywords

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