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Automatic production data processing forecast unit method, has sample, where main component analysis is applied for computation and has main components, where number of selected main components remains smaller than number of scanning times

机译:自动生产数据处理预测单元方法,具有样本,其中将主成分分析应用于计算,并且具有主成分,其中所选主要成分的数量保持小于扫描次数

摘要

The method has a sample, where a main component analysis is applied for computation. The number of selected main components remains smaller than the number of scanning times. The sample is computed in main component time series concerning the selected main components, which covers the step for the forecast unit training. A transformation unit (11) is produced for the inverse transform time series concerning the main components in time series, where the exit of the trained main component forecast unit (10) are connected with the input. Independent claims are also included for the following: (1) the computer program product (2) the digital storage medium.
机译:该方法有一个样本,其中将主成分分析应用于计算。所选主要组件的数量保持小于扫描次数。样本是在与所选主要成分有关的主要成分时间序列中计算的,涵盖了预测单元训练的步骤。产生用于与时间序列中的主要成分有关的逆变换时间序列的转换单元(11),其中训练后的主要成分预测单元(10)的出口与输入连接。还包括以下方面的独立权利要求:(1)计算机程序产品(2)数字存储介质。

著录项

  • 公开/公告号DE102006003156A1

    专利类型

  • 公开/公告日2007-07-26

    原文格式PDF

  • 申请/专利权人 DAIMLERCHRYSLER AG;

    申请/专利号DE20061003156

  • 发明设计人 WEYMANN HARDY;

    申请日2006-01-24

  • 分类号G05B13/04;G05B17/02;F02D33/00;F02D41/30;

  • 国家 DE

  • 入库时间 2022-08-21 20:29:26

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