Numerical validations of neural-network-based ionospheric tomography for disturbed ionospheric conditions and sparse data
Author:
Affiliation:
1. Graduate School of Science; Chiba University; Chiba; Japan
2. Department of Computer Science; University of Electro-Communications; Chofu; Japan
Publisher
American Geophysical Union (AGU)
Subject
Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics
Link
http://www.agu.org/journals/rs/rs1105/2011RS004760/2011RS004760.pdf
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