首页> 外国专利> FRACTAL COGNITIVE COMPUTING NODE, COMPUTER-IMPLEMENTED METHOD FOR LEARNING PROCEDURES, COMPUTATIONAL COGNITION CLUSTER AND COMPUTATIONAL COGNITION ARCHITECTURE

FRACTAL COGNITIVE COMPUTING NODE, COMPUTER-IMPLEMENTED METHOD FOR LEARNING PROCEDURES, COMPUTATIONAL COGNITION CLUSTER AND COMPUTATIONAL COGNITION ARCHITECTURE

机译:分形认知计算节点,计算机实现的学习过程方法,计算认知聚类和计算认知架构

摘要

A fractal cognitive computing node, a computer-implemented method for learning procedures, a computational cognition cluster, and a computational cognition architecture are provided. The FCN comprises a first input to receive a first input signal, a first output to provide a first output signal, a second input to receive a second input signal and a third input signal to receive a SA parameter. A memory of the FCN stores a collection of items. A processing unit implements a function that compares a combination of said first and second input signals with the stored collection and calculates a similarity measure for each compared item. The first output signal is calculated as a selection of the compared items having a similarity measure greater than said SA parameter. If the selection is empty, a new item is added to said memory. If not empty, the first output signal is set to said selection.
机译:提供了分形认知计算节点,用于学习过程的计算机实现的方法,计算认知集群以及计算认知架构。 FCN包括接收第一输入信号的第一输入,提供第一输出信号的第一输出,接收第二输入信号的第二输入和接收SA参数的第三输入信号。 FCN的存储器存储项目的集合。处理单元实现将所述第一输入信号和第二输入信号的组合与所存储的集合进行比较并针对每个比较项计算相似度的功能。计算第一输出信号作为具有大于所述SA参数的相似性度量的比较项目的选择。如果选择为空,则将新项目添加到所述存储器。如果不为空,则将第一输出信号设置为所述选择。

著录项

  • 公开/公告号WO2020157284A1

    专利类型

  • 公开/公告日2020-08-06

    原文格式PDF

  • 申请/专利权人 AVATAR COGNITION BARCELONA SL;

    申请/专利号WO2020EP52447

  • 发明设计人 GUINOVART GRÀCIA ENRIC;

    申请日2020-01-31

  • 分类号G06N3/04;G06N3/08;G06N5/02;G06N20;

  • 国家 WO

  • 入库时间 2022-08-21 11:09:56

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