Neuro-Fuzzy Networks for Identification of Mathematical Model Parameters of Geofield
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Neuro-Fuzzy Networks for Identification of Mathematical Model Parameters of Geofield

Authors: A. Pashayev, R. Sadiqov, C. Ardil, F. Ildiz , H. Karabork

Abstract:

The new technology of fuzzy neural networks for identification of parameters for mathematical models of geofields is proposed and checked. The effectiveness of that soft computing technology is demonstrated, especially in the early stage of modeling, when the information is uncertain and limited.

Keywords: Identification, interpolation methods, neuro-fuzzy networks, geofield.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070871

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[1] M. Yanalak, Height interpolation in digital terran models. Ankara, Harita dergisi, Temmuz 2002. Sayi: 128. p. 44 - 58.
[2] A.Berlyant, L. Ushakova, Cartographic animations. Moscow: Scientific World, 2000.
[3] M. Jukov, S. Serbenyuk and V. Tikunov, Mathematical - cartographig modeling in geography. Moscow: misl, 1980.
[4] O. Akima, P. Hiroshi, Bivariate interpolation and smooth surface fitting for irregulary distributed date points. ACM Transactions for Mathematical Software. June 1978. p. 148 - 159.
[5] J. Delhhome, Kriging in the hudro sciences // Adv. Water Res. 1978. Vol. 1.Ôäû5.
[6] L.Buryakovskii, I. Dzhafarov and Dzhefanshir, Modeling systems. Moscow: Nedra, 1990.
[7] R. Yager, L. Zadeh. (Eds.) Fuzzy sets, Neural Networks and Soft Computing. Van Nostrand Reinhold - New York, 1994.
[8] H. Mohamad. Fundamentals of Artificial Neural Networks, MIT Press, Cambridge, Mass., London, 1995