A Study on Reconstructing Temperature Field

Authors
Xian Zhou, Wei-gen Wu, Gao-yuan Niu, Qiang Wang
Corresponding Author
Xian Zhou
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.17How to use a DOI?
Keywords
three-dimension temperature field,acoustic thermometry,DCT
Abstract
This paper puts forward a new algorithm based on RBF neural network to reconstruct three-dimensional temperature field.The algorithm uses three-dimension Discrete Cosine Transform on temperature field,and establishes a mapping relation between low order term coefficient vector and sound wave path average temperature vector,then implements the mapping relation using radical basis function neural network.Finally three-dimensional temperature field was reconstructed by using Inverse three-dimension Discrete Cosine Transform.Simulation results show that the algorithm features high precision.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xian Zhou
AU  - Wei-gen Wu
AU  - Gao-yuan Niu
AU  - Qiang Wang
PY  - 2013/04
DA  - 2013/04
TI  - A Study on Reconstructing Temperature Field
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SP  - 84
EP  - 88
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.17
DO  - https://doi.org/10.2991/icsem.2013.17
ID  - Zhou2013/04
ER  -