@conference {12949,
	title = {Developing a neuro-fuzzy system to classify drainage sub-basins according to erosion processes on the Island of Lefkas, Greece.},
	volume = {20},
	year = {2018},
	pages = {79-89},
	publisher = {Revista de Geomorphologie},
	organization = {Revista de Geomorphologie},
	abstract = {<p>In this paper we attempt to classify drainage sub-basins according to their erosion risk. We have adopted a multi-step procedure to face this problem. The input variables were introduced into a GIS platform. These variables are the vulnerability of the surface rocks to erosion, slope gradient, vegetation cover and land use and drainage basin characteristics. We then constructed a fuzzy inference mechanism to pre-process the input variables. Next we used neural-network technology to process the input variables. The above system was trained to {\textquoteleft}learn{\textquoteright}and classify the input data. The output of this procedure was a classification of the sub-drainage basins related to their risk of erosion. This neuro-fuzzy system was applied to the island of Lefkas (Greece).</p>},
	author = {Evelpidou, N. and Gournelos, Th. and Karkani, A. and Kardara, E.}
}
