Optimized least-squares support vector machine for predicting aero-optic imaging deviation based on chaotic particle swarm optimization-Reference-Cited by-同舟云学术

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Optimized least-squares support vector machine for predicting aero-optic imaging deviation based on chaotic particle swarm optimization

Published:2020-03 Issue: Volume:206 Page:163215
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Wu Yuyang,Xue Wei,Xu Liang,Guo Xiang,Xue Deting,Yao Yuan^ORCID,Zhao Songbo,Li Ningning

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference19 articles.

1. Principle of Aero-Optics;Yin,2003

2. New branch of modern optics - optical pneumatic;Yin;China Eng. Sci.,2005

3. Prediction and Control of Turbulent Aero -optical Using Large Eddy Simulation;Childs,1993

4. A Numerical Method to Predict Aero-optical Performance in Hypersonic Flight;Clark,1987

5. AIT Interceptor Performance Predictions;Miller,1993

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