TY - JOUR T1 - Landslide hazard zonation using artificial neural networks A case study: Keshvari watershed (Nozhiyan) TT - پهنه بندی خطر زمین لغزش با استفاده از شبکه عصبی مصنوعی مطالعه موردی: حوضه کشوری (نوژیان) JF - jeg JO - jeg VL - 5 IS - 2 UR - http://jeg.khu.ac.ir/article-1-374-en.html Y1 - 2012 SP - 1269 EP - 1286 KW - Landslide KW - zonation KW - Keshvari watershed KW - Artificial neural network N2 - The Keshvari watershed is located at south east of Khorramabad city in Lorestan province. This area is one part of the folded Zagros zone based on structural geology classification. By consider the type of geological formations, topographic conditions and its area, this watershed is very unstable and capable for occurring landslide. In this study, artificial neural network (ANN) with structure of multi-layer percepteron and Back Propagation learning algorithm used for zonation of landslide risk. The results of ANN showed the final structure of 9-11-1 for zonation of landslide risk in Keshvari watershed. According this zonation, 23.81, 7.53, 6.49, 18.68 and 43.47 percent of area are located in very low, low, moderate, high and very high risk classes, respectively. M3 ER -