Sunspot prediction problem based on PSO-RBF

Author:

Zhang Yang1ORCID,Li Jiang1ORCID,Chen Wenjia1ORCID,Zhao Pei1ORCID,Zhang Rengming1ORCID

Affiliation:

1. Jishou University, China

Publisher

ACM

Reference10 articles.

1. The Solar Dynamics Observatory (SDO): observing the Sun's atmosphere;Livingston W.;Space Science Reviews,2017

2. Detection of solar surface magnetic fields using ground-based high-resolution observations of sunspots and sunspot groups;Ai X.;Publications of the Astronomical Society of the Pacific,2015

3. Solar cycle variations in photospheric magnetic fields and their influence on the corona and heliosphere;Kuhn J. R.;Journal of Geophysical Research: Space Physics, 96(A4),1991

4. Liu, Z., & Yu, M. 2015. Application of RBF neural network in short-term load forecasting of power system. In Neural Networks (ICNN), 2015 International Conference on (pp. 230-235). IEEE.

5. An application of RBF neural network in time series prediction: Case study of İstanbul stock exchange;Yildiz C.;Expert Systems with Applications,2014

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