摘要
为区域提供综合气象数据为目的,提出基于改进神经网络的综合气象预测方法。该方法利用GNSS接收机采集目标区域气象参数数据后,对其实施融合处理,并将融合处理后的气象参数数据作为输入,利用改进Elman神经网络模型输入综合气象预测结果。实验表明:该方法采集目标区域气象参数数据准确,可有效预测综合气象,预测结果极为准确。
A comprehensive meteorological prediction method based on improved neural networks is proposed for the purpose of providing comprehensive meteorological data for the region.This method utilizes the GNSS receiver to collect meteorological parameter data in the target area,and then performs fusion processing on it.The fusion processed meteorological parameter data is used as input,and an improved Elman neural network model is used to input the comprehensive meteorological prediction results.The experiment shows that the method is accurate in collecting meteorological parameter data in the target area,and can effectively predict comprehensive meteorology,with extremely accurate prediction results.
作者
刘玉玲
Liu Yuling(Songshan Meteorological Bureau,Chifeng,China)
出处
《科学技术创新》
2023年第20期67-70,共4页
Scientific and Technological Innovation
关键词
改进神经网络
综合气象预测
融合预处理
平均算子
激励函数
improving neural networks
comprehensive meteorological prediction
fusion preprocessing
average operator
excitation function
