Cloud-Based Adaptive Particle Swarm Optimization for Waveband Selection in Big Data-Reference-Cited by-同舟云学术

Cloud-Based Adaptive Particle Swarm Optimization for Waveband Selection in Big Data

Published:2017-08-18 Issue:8-9 Volume:90 Page:1105-1113
ISSN:1939-8018
Container-title:Journal of Signal Processing Systems
language:en
Short-container-title:J Sign Process Syst

Author:

Li Yujun^ORCID,Liang Kun,Tang Xiaojun,Gai Keke

Funder

Scientific Research Program of Shaanxi Provincial Education Department

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modelling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s11265-017-1274-2/fulltext.html

Reference15 articles.

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3. Bai, P., & Junhua, L. (2006). Application of SVM to mixed gas spectrum analysis. Chinese Journal of Scientific Instrument, 27 (10), 1242.

4. Li, Y., Tang, X., & Liu, J. (2010). [application of least square support vector machine based on particle swarm optimization in quantitative analysis of gas mixture]. Guang pu xue yu guang pu fen xi= Guang pu, 30 (3), 774–778.

5. Lin, J., & Liu, J. (2006). A new technology study on overlapped absorbed peak of infrared hybrid gas.Acta Photonica Sinic, 35 (3), 408–412.

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