基于BP神经网络的甘肃地质灾害防治产业化预测

Forecast of the industrialization of geological hazard prevention and control in Gansu Province based on BP neural network

本文运用BP神经网络模型,选取甘肃46家地质灾害防治企业作为样本,研究该模型在地质灾害防治产业化预测中的适用性,并在此基础上预测了甘肃地质灾害防治产业化水平,以期对今后该产业的发展和政策制定提供依据。

This paper uses BP neural network model,selecting 46 enterprises of geological hazard prevention and control as a sample,to research on the applicability of BP neural network model in forecast of the industrialization of geological hazard prevention and control. Then the level of geological hazard prevention and control in Gansu province is forecasted to support the future development of the industry and policy-making.