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,计算机实现的学习程序,计算认知集群和计算认知架构

摘要

A fractal cognitive computing node and a computer-implemented method for learning procedures 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 and a processing unit implements a function that compares a combination of said first and second input signals with the stored collection of items 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 and equals the output to the combination of input signals; and if not empty, equals the output signal to said selection.
机译:提供了一种分形认知计算节点和用于学习过程的计算机实现的方法。 FCN包括第一输入以接收第一输入信号,第一输出提供第一输出信号,第二输入以接收第二输入信号和第三输入信号以接收SA参数。 FCN的存储器存储项目集合,并且处理单元实现与存储的项目的存储集合比较所述第一和第二输入信号的组合并计算每个比较项的相似度量。 第一输出信号被计算为具有比所述SA参数大的相似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内存中并等于输入信号组合的输出; 如果不是空,则等于输出信号到所述选择。

著录项

  • 公开/公告号EP3918530A1

    专利类型

  • 公开/公告日2021-12-08

    原文格式PDF

  • 申请/专利权人 AVATAR COGNITION BARCELONA SL;

    申请/专利号EP20200702299

  • 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 EP

  • 入库时间 2022-08-24 22:41:28

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