基于LSTM的台风强度预测模型分析.pdf

信E!与电H
China Computer & Communication 2021年第11期
基于LSTM的台风强度预测模型分析
高珊X刘峻"
(，广西南宁530004;
，广西南宁530022 )
摘 要：台风是一种复杂的天气系统，，可以为防灾部门提供有效的信息支持,
，深度神经网络逐步应用于气象领
，实验表明，将该模型应用于台风强度的预测是可行的，
具有较高的应用价值。
关键词：深度学习；LSTM;台风强度预测
中图分类号：P444； TP18 文献标识码：A 文章编号：1003-9767 (2021) 11-030-03
Typhoon Intensity Prediction Model Analysis Based on LSTM
GAO Shan1'2 , LIU Jun1*
(1. School of Computer and Electronic Information, Guangxi Uni vers 让y, Nanning Guangxi 530004, China;
2. Guangxi Meteorological Service Center, Nanning Guangxi 530022, China)
Abstract： Typhoon is a complex weather system, which is severely destructive. Accurate and timely typhoon forecasts can
provide effective information support for disaster prevention departments and greatly reduce the loss of life and property. Thanks to
the improvement of computer computing power and the development of deep learning technology in recent years, deep neural networks
have gradually been applied to the f