A Study on Reconstructing Temperature Field

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 84
EP  - 88
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.17
DO  - 10.2991/icsem.2013.17
ID  - Zhou2013/04
ER  -