{"title":"Neuro-Fuzzy Networks for Identification of Mathematical Model Parameters of Geofield","authors":"A. Pashayev, R. Sadiqov, C. Ardil, F. Ildiz , H. Karabork","volume":47,"journal":"International Journal of Physical and Mathematical Sciences","pagesStart":1453,"pagesEnd":1458,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/8427","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.<\/p>\r\n","references":"[1] M. Yanalak, Height interpolation in digital terran models. Ankara, Harita\r\ndergisi, Temmuz 2002. Sayi: 128. p. 44 - 58.\r\n[2] A.Berlyant, L. Ushakova, Cartographic animations. Moscow: Scientific\r\nWorld, 2000.\r\n[3] M. Jukov, S. Serbenyuk and V. Tikunov, Mathematical - cartographig\r\nmodeling in geography. Moscow: misl, 1980.\r\n[4] O. Akima, P. Hiroshi, Bivariate interpolation and smooth surface fitting\r\nfor irregulary distributed date points. ACM Transactions for\r\nMathematical Software. June 1978. p. 148 - 159.\r\n[5] J. Delhhome, Kriging in the hudro sciences \/\/ Adv. Water Res. 1978.\r\nVol. 1.\u00d4\u00e4\u00fb5.\r\n[6] L.Buryakovskii, I. Dzhafarov and Dzhefanshir, Modeling systems.\r\nMoscow: Nedra, 1990.\r\n[7] R. Yager, L. Zadeh. (Eds.) Fuzzy sets, Neural Networks and Soft\r\nComputing. Van Nostrand Reinhold - New York, 1994.\r\n[8] H. Mohamad. Fundamentals of Artificial Neural Networks, MIT Press,\r\nCambridge, Mass., London, 1995","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 47, 2010"}