首页> 外国专利> LONG-TERM PREDICTION METHOD OF PHENOMENON HAVING PERIODIC CHARACTERISTICS

LONG-TERM PREDICTION METHOD OF PHENOMENON HAVING PERIODIC CHARACTERISTICS

机译:具有周期特征的现象的长期预测方法

摘要

PROBLEM TO BE SOLVED: To predict a month average atmospheric temperature and a month average rainfall of a probability phenomenon such as meteolology repeated over a specific period. SOLUTION: A transition probability density function or a transition matrix at respective time in one period of the probability phenomenon, having a period when comprehensively looking at several observation points is predicted from existing data to obtain an predicting value of the respective time, a reliable section of a true value and the reliable factor.
机译:要解决的问题:预测在特定时期内重复发生的诸如气象等概率现象的月平均大气温度和月平均降雨量。解决方案:在概率现象的一个周期内的各个时间上的转移概率密度函数或转移矩阵,具有一个从现有数据中全面观察几个观察点的周期,从而获得各个时间的预测值,这是一个可靠的区间真实价值和可靠因素。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号