The neural network technique - 2: an ionospheric example illustrating its application

Tulunay Y., Tulunay E., Senalp E.

PATH TOWARD IMPROVED IONOSPHERE SPECIFICATION AND FORECAST MODELS, cilt.33, sa.6, ss.988-992, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 33 Sayı: 6
  • Basım Tarihi: 2004
  • Doi Numarası: 10.1016/j.asr.2003.06.015
  • Dergi Adı: PATH TOWARD IMPROVED IONOSPHERE SPECIFICATION AND FORECAST MODELS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.988-992
  • Anahtar Kelimeler: neural network, ionospheric critical frequency, mathematical modelling, near-earth space
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

An example of modeling of Near Earth Space Processes by empoying the Neural Network Approach [Tulunay et al., Adv. Space Res., this current issue, 2003] is considered. The temporal and spatial forecasting of ionospheric critical frequency f(o)F2 values up to 24 h in advance by using the METUNN model is briefly covered. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.