基于人工神经网络的泥石流灾害危险性评价

The debris flow risk assessment based on artificial neural network in Panshi city

以磐石市典型泥石流为样本训练神经网络,结合应用实例,用训练好的网络模型对磐石市的10条泥石流样本作出评价,且评价结果与磐石市实际情况相符合,表明神经网络方法是泥石流危险评价的一种好方法。

This paper uses typical debris flow in Panshi city as sample trainning with the neural network, then uses weft trainned neural network model making appraisement for the ten pieces of debris flow in Panshi city, and the appraisement result is consistent with appraisement income results of other methods,it indicates that the neural network technology can be the supplement as debris flow risk assessment.