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Intelligent control with hierarchical stacked neural networks

机译:分层堆叠神经网络的智能控制

摘要

A system and method of detecting an aberrant message is provided. An ordered set of words within the message is detected. The set of words found within the message is linked to a corresponding set of expected words, the set of expected words having semantic attributes. A set of grammatical structures represented in the message is detected, based on the ordered set of words and the semantic attributes of the corresponding set of expected words. A cognitive noise vector comprising a quantitative measure of a deviation between grammatical structures represented in the message and an expected measure of grammatical structures for a message of the type is then determined. The cognitive noise vector may be processed by higher levels of the neural network and/or an external processor.
机译:提供了一种检测异常消息的系统和方法。检测到消息中的一组有序单词。在消息中找到的单词集合被链接到相应的期望单词集合,该期望单词集合具有语义属性。基于单词的排序集合和相应的预期单词集合的语义属性,检测消息中表示的一组语法结构。然后确定认知噪声矢量,该认知噪声矢量包括对消息中表示的语法结构之间的偏差的定量度量和针对该类型的消息的语法结构的预期度量。认知噪声矢量可以由更高级别的神经网络和/或外部处理器来处理。

著录项

  • 公开/公告号US10510000B1

    专利类型

  • 公开/公告日2019-12-17

    原文格式PDF

  • 申请/专利权人 MICHAEL LAMPORT COMMONS;

    申请/专利号US201514733472

  • 发明设计人 MICHAEL LAMPORT COMMONS;

    申请日2015-06-08

  • 分类号G06N3/08;G06F17/27;G06F16/33;G06Q10/10;

  • 国家 US

  • 入库时间 2022-08-21 11:29:18

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