首页> 外国专利> Machine learning method for constructing a space weather forecasting system and space weather forecasting method constructed by the method

Machine learning method for constructing a space weather forecasting system and space weather forecasting method constructed by the method

机译:用于构建空间天气预报系统的机器学习方法和通过该方法构建的空间天气预报方法

摘要

PROBLEM TO BE SOLVED: To structure a novel and useful cosmic weather forecast system by processing a large quantity of solar observation data.SOLUTION: A machine learning method is intended for structuring a cosmic weather forecast system comprising a first step of subjecting a whole sphere observation image of the sun observed at a time point tto two-dimensional Wavelet conversion to calculate the sum of all the wavelength components and thereby obtaining n-dimensional feature vectors and a following second step of machine-learning maps from a feature vector at the time point tintended for the object of cosmic weather forecasting observed from the time point tuntil a time point t+k. By implementing the first step and the second step at many time points, maps are machine-learned repeatedly.SELECTED DRAWING: Figure 3
机译:解决的问题:通过处理大量的太阳观测数据来构建新颖有用的宇宙天气预报系统解决方案:机器学习方法旨在构造一个宇宙天气预报系统,该过程包括对整个球体进行观测的第一步在时间点t处观察到的太阳图像进行二维小波转换,以计算所有波长分量的总和,从而获得n维特征向量,并从该时间点的特征向量获得第二步的机器学习图用于从时间点tuntil时间点t + k观察到的宇宙天气预报的目标。通过在多个时间点执行第一步和第二步,可以重复地机器学习地图。选定的图:图3

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