The neural network technique - 1: a general exposition

---

Atıf İçin Kopyala

Tulunay Y., Tulunay E., Senalp E.

PATH TOWARD IMPROVED IONOSPHERE SPECIFICATION AND FORECAST MODELS, cilt.33, sa.6, ss.983-987, 2004 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 33 Sayı: 6
• Basım Tarihi: 2004
• Doi Numarası: 10.1016/j.asr.2003.06.008
• Dergi Adı: PATH TOWARD IMPROVED IONOSPHERE SPECIFICATION AND FORECAST MODELS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.983-987
• Anahtar Kelimeler: neural network, mathematical modeling, near-earth space
• Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Near earth space processes are highly complex and nonlinear and mathematical modeling based on first physical principals is usually difficult or impossible. For such cases data driven modeling methods are recommended to be used in parallel with mathematical modeling approach. Highly non-linear processes in the near-earth space are advantageously dealt with using data-driven modeling techniques in the neural network (NN) approach. The only basic requirement for its application is the availability of representative data. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.