TY - GEN
T1 - Optimization Calculation Algorithm for Radiation Parameters Based on Extreme Learning Machine
AU - Liu, Taiye
AU - Mu, Chengpo
AU - He, Yang
AU - Wu, Nan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Aerodynamic optics has important research value in many fields such as aerospace optical sensors, remote sensing detection and so on. The traditional gas radiation calculation models are insufficient in terms of accuracy and computational efficiency. In this paper, an algorithm is proposed to calculate the absorption coefficient of gas radiation based on the improved limit learning machine model. It can improve the calculation efficiency on the basis of accuracy.
AB - Aerodynamic optics has important research value in many fields such as aerospace optical sensors, remote sensing detection and so on. The traditional gas radiation calculation models are insufficient in terms of accuracy and computational efficiency. In this paper, an algorithm is proposed to calculate the absorption coefficient of gas radiation based on the improved limit learning machine model. It can improve the calculation efficiency on the basis of accuracy.
KW - component
KW - Extreme Learning Machine
KW - gas radiation characteristics
KW - Improving the sparrow search algorithm
KW - Line by line method
KW - Non-equilibrium radiation
UR - http://www.scopus.com/inward/record.url?scp=85205225970&partnerID=8YFLogxK
U2 - 10.1109/ISPDS62779.2024.10667499
DO - 10.1109/ISPDS62779.2024.10667499
M3 - Conference contribution
AN - SCOPUS:85205225970
T3 - 2024 5th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2024
SP - 393
EP - 396
BT - 2024 5th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2024
Y2 - 31 May 2024 through 2 June 2024
ER -