Abstract
A new approach to the problem of avalanche forecasting is presented. A hybrid neural expert system will be developed to assess the avalanche danger for a given region. Using snow, weather and snow cover data as input parameters the system evaluates the degree of danger for a given region. It integrates extended symbolic computing from traditional Artificial Intelligence, by generating symbolic rules from subsymbolic data, with unsupervised neural networks. The new approach is compared to present methods of avalanche forecasting.
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Schweizer, M., Föhn, P.M.B., Schweizer, J., Ultsch, A. (1994). A Hybrid Expert System for Avalanche Forecasting. In: Schertler, W., Schmid, B., Tjoa, A.M., Werthner, H. (eds) Information and Communications Technologies in Tourism. Springer, Vienna. https://doi.org/10.1007/978-3-7091-9343-3_23
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DOI: https://doi.org/10.1007/978-3-7091-9343-3_23
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