【摘要】 针对地质灾害监测预警方法中存在的实用性差等问题,提出基于优化神经网络的地质灾害监测预警方法。建立地质灾害监测数据体系,确保各种监测传感器协同工作,实现地质灾害动态预警对监测数据实时采集等需求。为提高监测预警准确性,对神经网络的输出层、隐含层的相关参数进行优化,对监测到的数据进行训练、泛化,组建基于优化神经网络的地质灾害监测预警模型,并按照0和1的组合结果对地质灾害进行监测预警。实验结果表明,所提方法组建的模型能够有效降低时间开销,提高整体的运行效率以及预警精度。更多还原

【Abstract】 Due to poor practicability of geological disaster monitoring and early warning method, this paper proposed a method of geological disaster monitoring and early warning based on optimized neural network. The data system of geological disaster monitoring was established to ensure the cooperation of all kinds of monitoring sensors, so as to achieve the real-time collection of the dynamic early warning for the monitoring data. In order to improve the accuracy of monitoring and early warning, the related parameters of output layer and hidden layer of neural network were optimized. Meanwhile, the monitored data were trained and generalized, so that the geological disaster monitoring and early warning model based on optimized neural network was built. According to the combination of 0 and 1, the geological disaster was monitored and early-warned. Simulation results show that the model built by the proposed method can effectively reduce the time overhead. Meanwhile, this model can improve the overall operation efficiency and early warning accuracy.更多还原