基于改进神经网络的综合气象预测  

Comprehensive Meteorological Prediction Based on Improved Neural Network

作　　者：刘玉玲 Liu Yuling(Songshan Meteorological Bureau,Chifeng,China)

机构地区：[1]松山区气象局,内蒙古赤峰

出　　处：《科学技术创新》2023年第20期67-70,共4页Scientific and Technological Innovation

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.

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 

分 类 号：P228[天文地球—大地测量学与测量工程]