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Neural Network. International Journal of Electrical and Computer Engineering 1:5 Nathaniel G. Stefan G. J. Aarninkhof, Ian L. Turner, and Kenneth S. Kingston (2007): The Performance of Shoreline Detection Models Applied to Video Imagery. Journal of Coastal Research: Volume 23, Issue 3: pp. 658 – 670. Okwuashi Onuwa, Mfon Isong, Etim Eyo, Aniekan Eyoh, Okey Nwanekezie, Dupe Nihinlola Olayinka, Daniel Okon Udoudo & Beulah Ofem 2012: GIS Cellular Automata Using Artificial Neural Network for Land Use Change Simulation of Lagos, Nigeria. Journal of Geography and Geology; Vol. 4, No. 2; 2012 ISSN 1916-9779 1916-9787 Published by Canadian Center of Science and Education Openshaw, S. and C. Openshaw, 1997: Artificial Intelligence in Geography. Chichester. John & Sons Ltd. Paola, J. D, and Schowenderdt, R. A. 1995: A review and analysis of back propagation neural networks for classification of remotely sensed multi-spectral imagery. International Journal of Remote Sensing, 16, 3033-3058. Peddle, D.R. G.M. Foody, A. Zhang, S.E. Franklin, and E.F. Ledrew 1994: Multisource image classification II: an empirical comparison of evidential reasoning, linear discriminant analysis, and maximum likelihood algorithms for alpine land cover classification. Can. J. Remote Sensing 20: 397-408. Peng, Changhui and Xuezhi Wen 1999: Recent Applications of Artificial Neural Networks in Forest Resource Management: An Overview. AAAI Technical Report WS-99-07. Compilation copyright © 1999, AAAI (www.aaai.org). Stathakis, D. A. Vasilakos 2006: Satellite image classification using granular neural networks. International Journal of Remote Sensing Vol. 27, No. 18, 3991–4003 X., C. Li, and Y. Yuan 1997: Application of neural networks to identifying vegetation types from satellite images. AI Application 11: 99-106. 6/25/2013
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