1-D CNNs with lock-free asynchronous adaptive stochastic gradient descent algorithm for classification of astronomical spectra

Author:

Qin Chuandong,Cao Yu

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Natural Science Foundation of Ningxia Province

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Reference55 articles.

1. Siegmund OHW, Tremsin AS, Vallerga JV (2007) High performance cross-strip detector technologies for space astrophysics. In: 2007 IEEE nuclear science symposium conference record, vol. 3, pp 2246–2251. https://doi.org/10.1109/NSSMIC.2007.4436595

2. Ding-Qiang S, Peng J, Genrong L (2012) The atmospheric dispersion corrector for the large sky area multi-object fibre spectroscopic telescope (lamost). Mon Not R Astron Soc 4:3406–3413

3. Xiang-ru L, Zhong-tian L, Zhan-yi H (2007) Celestial spectrum flux standardization for classification. Acta Astronomica Sinica 48(3):9

4. Thara DK, Premasudha BG, Xiong F (2019) Auto-detection of epileptic seizure events using deep neural network with different feature scaling techniques. Pattern Recognit Lett 128(Dec.):544–550

5. Wang Qixun ZG, Zhou F (2020) Classification of astronomical spectra based on densenet. Astron Technol Res 17(1):85–95

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