摘要
研究气象雨量预测准确度问题,针对传统的雨量预测算法预测精确度不高,存在预测水文和资源参数有限,预测方法对雨量估算精度低等问题缺陷。为解决上述问题,提出了一种新的基于最大熵算法气象雨量预测模型。首先基于最大熵原理奖励预测模型,采用插值法对雨量的预报数据进行处理,分别采用确定性系数和信息熵方法建立了雨量预报模型,matlab仿真表明,提出的雨量预测算法精确度明显高于神经网络预测算法,具有实用性和更高的精确性,为预测提供了参考。
Study the problem of weather forecast accuracy of rainfall.The forecasting rainfall forecast accuracy was not high when traditional method was used,and low rainfall estimation accuracy problem existed.A new algorithm was proposed based on maximum entropy model for weather forecasting rainfall.First of all,interpolation of rainfall forecast process data were used based on maximum entropy prediction model,then determination coefficient was used to establish information entropy and rainfall forecasting model.Finally,Matlab simulation results show that the accuracy of rainfall prediction algorithm significantly is higher than the neural network prediction algorithm,with a strong practical and higher accuracy.
出处
《计算机仿真》
CSCD
北大核心
2011年第10期177-179,261,共4页
Computer Simulation
基金
十一五国家科技支撑计划项目(2008BADA8B03)
关键词
最大熵算法
气象
雨量预测
Maximum entropy algorithm
Weather
Rainfall forecast
