The zoning of slop instabilities on the mountain roads by Artificial Neural Network (MLP)(case study: dare diz strait)

Dre Diz straitis one of the most risky straits of east Azarbayjian province from occurrence of slop instabilities. Given¡ the coincidence of thisstrait on the only connection pass between MARAND_JOLFA towns¡ the best way to care and keeping the security of the road¡ is identification of risky areas or zoning the risk of slop instability in this strait. For this ¡ the main data was collected then the needful layers were provided on the GIS software environment ¡later the zoning map of slop instability for zoning slop instability risk obtained in IDRISI software and on the ANN method (MLP) with 1-10-15 instruction provided ¡and the apt areas for occurrence of slop instability have been introduced in five different risk class :highest¡ high¡ medium¡ low ¡very low.And according to the result slop and distance of faulthave the greater role on the happining of slop instabilities on the strait and therefor on the Insecurityof the road.