احمدی، م.، موسوی، س.، م.، 1391، حل دقیق معادلات موقعیت در گیرنده های GPS با استفاده از شبکه های عصبی: مجله علمی و پژوهشی رایانش نرم و فناوری اطلاعات، جلد 1 شماره 1
Beale, M. H. , Hagan, M. T. , Demuth, H. B., 2010, Neural Network Toolbox 7 User’s Guide: The MathWorks Inc., Natick, MA, 951 pp.,
Gullu, M., Yilmaz, I., Yilmaz, M., Turgut, B., 2011a, an alternative method for estimating densification point velocity based on back propagation artificial neural networks: Studia Geophysica et Geodaetica, 55 (1), 73-86
Ghaffari, M. R., Vosooghi, B., 2014, 2Dimentinal Crustal Deformation Analysis with Using IPGN Data: International Geosciences Congress
Hossainali, M. M., 2006, a Comprehensive Approach to the Analysis of the 3Dkinematics of Deformation: Geodesy. Darmstadt, University of Darmstadt
Moghtased-Azar, K., Zaletnyik, P., 2009, Crustal velocity field modeling with neural network and polynomials: In: SIDERIS, M.G. (Ed.), Observing our changing Earth, International Association of Geodesy Symposia, 133, pp. 809-816
Voosoghi, B. , 2000, Intrinsic deformation analysis of the earth surface based on 3-D displacement fields derived from space geodetic measurements: PhD Thesis, Department of Geodesy and Geoinformatics, Stuttgart University
Yilmaz, M., 2013, Artificial Neural Networks Pruning Apprpach for Geodetic Velocity Field Determination: BCG - Boletim de Ciências Geodésicas