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该文讨论了滑坡预报技术的现状、存在的问题以及应用神经网络解决滑坡预报问题的新途径；提出了一种基于神经网络的滑坡预报系统（ＨＰＮＮ）模型及基本结构，并通过实例介绍了其工作原理。
This paper discusses the status quo of landslide forecasting technology, existing problems and new ways to solve the landslide forecasting problem by using neural network. A model of landslide forecasting system (HPNN) based on neural network and its basic structure are proposed. working principle.