摘要
通过对新中国成立以来影响浙江的台风为样本,在对台风的数据资料整合后,以台风属性等指标作为输入向量,以台风造成的损失作为输出向量,建立了预测影响浙江地区台风损失的理想人工神经网络模型。实验结果表明运用BP神经网络对某一区域某一类型台风的灾害损失进行预测是可行的。其在一定程度上可以为气象部门和政府部门提供制定和实施抗台方案的依据,减少灾害损失。
Typhoon which influenced Zhejiang since the founding of China is chosen as samples in this paper,after the data integration,indicators of typhoon attributes are used as input vectors,and losses caused by the typhoon are used as output vectors,and thenit sets up a perfect artificial neural network to forecast the damage of typhoon in Zhejiang province.And the results show that it is feasible to set up a BP neural network to forecast the disaster losses caused by a certain type of typhoon in some areas.In a certain extent,it could help the meteorological department and the government to formulate and implement typhoon-defense measures,and reduce losses.
出处
《信息技术》
2011年第10期59-61,共3页
Information Technology
基金
国家公益性行业(气象)科研专项资助项目(GYHY200806017)
江苏高校优势学科建设工程资助项目(PAPD)
关键词
BP神经网络
台风
损失预测
BP neural network
typhoon
damage forecasting
