Abstract
The opportunities of artificial neural networks model application to landslide forecasting are considered, namely prediction of landslide types and parameters of landslide damage area. The data collected by observers with different qualification are used as predictors, in doing so the reliability of prediction increases with higher professional skill of observers and accomplished research work. Real data from number of landslide-prone areas in southern Kyrgyzstan were used.
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Aleshin, Y., Torgoev, I. (2013). Landslide Prediction Based on Neural Network Modelling. In: Margottini, C., Canuti, P., Sassa, K. (eds) Landslide Science and Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31319-6_41
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DOI: https://doi.org/10.1007/978-3-642-31319-6_41
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