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中文摘要: 利用人工神经元网络的非线性决策特性,采用前向多层的误差反向传输网络(即BP网络),研制了一个登陆北上热带气旋暴雨增幅造成北方特大暴雨的预报方法──能自动判别有无暴雨增幅及其出现地区的人工神经元分类预报网络。该方法简便客观,试用效果较好,即可投入业务使用。
中文关键词: 热带气旋,暴雨增幅,北方特大暴雨,人工神经元预报网络
Abstract:The BP network with nonlinear decision feature of artificial neural network is used,a for=asting method of heavy rainfall increament that makes the North China heavy rainfall caused by tropical cyclone is developed. The method is easy and objective,and the results are good in use.
keywords: tropical cyclone,increament of rainfall,the North China heavy rainfall,artificial neural network
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基金项目:本研究得到国家科技攻关85-906-07课题经费资助
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引用文本:
曹钢锋,朱官忠,张善君,1996.热带气旋暴雨增幅造成北方特大暴雨的预报[J].气象,22(3):3-7.
,1996.Study and Forecasting of North China Heavy Rainfall Caused by Rain Increament of Tropical Cyclone[J].Meteor Mon,22(3):3-7.
曹钢锋,朱官忠,张善君,1996.热带气旋暴雨增幅造成北方特大暴雨的预报[J].气象,22(3):3-7.
,1996.Study and Forecasting of North China Heavy Rainfall Caused by Rain Increament of Tropical Cyclone[J].Meteor Mon,22(3):3-7.