The neural network technique - 1: a general exposition


Tulunay Y. , Tulunay E., Senalp E.

PATH TOWARD IMPROVED IONOSPHERE SPECIFICATION AND FORECAST MODELS, vol.33, no.6, pp.983-987, 2004 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 6
  • Publication Date: 2004
  • Doi Number: 10.1016/j.asr.2003.06.008
  • Title of Journal : PATH TOWARD IMPROVED IONOSPHERE SPECIFICATION AND FORECAST MODELS
  • Page Numbers: pp.983-987

Abstract

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.