首页> 外国专利> METHOD FOR AUTOMATICALLY IDENTIFYING SIGNALS OR PATTERNS IN TIME SERIES DATA BY TREATING SERIES AS IMAGE

METHOD FOR AUTOMATICALLY IDENTIFYING SIGNALS OR PATTERNS IN TIME SERIES DATA BY TREATING SERIES AS IMAGE

机译:通过将序列作为图像进行处理来自动识别时间序列数据中的信号或图案的方法

摘要

A method for using images that represent time-series data to forecast future images depicting future values as pixelated information is provided. The method includes: receiving a first set of time-series data; converting the received first set of time-series data into a first image; and using the first image to forecast a future image depicting future values as pixelated information that corresponds to a future time interval Training sets of time-series data are used to generate historical data that provides input to a machine learning algorithm, which provides, as an output, a composite image that depicts the future values as pixelated information that reflects associated uncertainties in the value predictions.
机译:提供了一种用于使用表示时间序列数据的图像来预测将未来值描述为像素化信息的未来图像的方法。该方法包括:接收第一组时间序列数据;以及将接收到的第一组时间序列数据转换为第一图像;并使用第一张图片预测将来的图片,该图片将将来的值描述为与将来的时间间隔相对应的像素化信息,训练时间序列数据集可用于生成历史数据,从而为机器学习算法提供输入,输出,合成图像将未来值描述为像素化信息,反映了价值预测中的相关不确定性。

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