首页> 外国专利> Automatic self learning system for process optimization in e.g. industry application, has number of desired parameters that store various differentiating experiences by converting and storing human thinking and learning process into model

Automatic self learning system for process optimization in e.g. industry application, has number of desired parameters that store various differentiating experiences by converting and storing human thinking and learning process into model

机译:用于过程优化的自动自学习系统,例如行业应用中,具有许多所需的参数,这些参数通过将人类的思维和学习过程转换并存储为模型来存储各种差异化体验

摘要

The system has a number of desired parameters that operate together as a unit, where the parameters store the various differentiating experiences by converting and storing human thinking and learning process into a model that is processed by applying data processing techniques so that the experiences are recognized through an on-line system or an unfavorable or favorable setting. The actions for optimizing the temporal or functional coherence of the overall behavior parameter are introduced.
机译:该系统具有许多所需的参数,这些参数可以作为一个单元一起运行,其中,这些参数通过将人类的思维和学习过程转换并存储到通过应用数据处理技术进行处理的模型中来存储各种差异化的体验,从而通过在线系统或不利或有利的环境。介绍了用于优化总体行为参数的时间或功能一致性的动作。

著录项

  • 公开/公告号DE102006035245A1

    专利类型

  • 公开/公告日2008-01-31

    原文格式PDF

  • 申请/专利权人 MOSER BERND;

    申请/专利号DE20061035245

  • 发明设计人 MOSER BERND;

    申请日2006-07-26

  • 分类号G06N3;

  • 国家 DE

  • 入库时间 2022-08-21 19:49:50

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