@conference {12830,
	title = {Developing a neuro-fuzzy system to classify drainage sub-basins according to erosion processes on the Island of Lefkas (Greece).},
	booktitle = {International Conference {\textquoteleft}Reorganizing field and landscape structures in a context of building strategies for water and soil protection{\textquoteright}},
	year = {2005},
	address = {Poland},
	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 {\textendash} platform. These variables are the vulnerability of the surface rocks to erosion, topographic variations, vegetation cover and land use and drainage basin characteristics. We then constructed a fuzzy inference<br>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 = {Gournellos, Th. and Vassilopoulos, A. and Evelpidou, N.}
}
