Forecasting of ionospheric vertical TEC 1-h ahead using a genetic algorithm and neural network. Issue 7 (1st April 2015)

• Record Type: Journal Article
• Authors: Huang, Z.; Li, Q.B.; Yuan, H.
• Is Part Of: Advances in space research. Volume 55:Issue 7(2015)
• Page Start: 1775
• Page End: 1783
• Publication Date: 2015-04-01
• Subjects: Space sciences -- Periodicals; Astronautics -- Periodicals; Geophysics -- Periodicals; 500.505
• DOI: 10.1016/j.asr.2015.01.026
• Languages: English
• ISSNs: 0273-1177

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st065">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0115">A BP neural network optimized by genetic algorithm is developed.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0120">The hybrid model can improve forecast results.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0125">Forecast results in the low-latitude region need to be improved.</p> </list-item> </list> </p> </sec> </abstract>