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ARTIFICIAL NEURAL NETWORK SYSTEM, CONTROL METHOD FOR ARTIFICIAL NEURAL NETWORK, AND DATA STRUCTURE FOR ARTIFICIAL NEURAL NETWORK

机译:人工神经网络系统,人工神经网络的控制方法和人工神经网络的数据结构

摘要

[Problem] To provide an artificial neural network that can be implemented using even small-scale hardware. [Solution] An artificial neural network system in which processes performed by a plurality of perceptrons are coupled to one another, said artificial neural network system being characterized by: acquiring a bucket to be processed that includes input information for inputting the bucket into a perceptron; acquiring, from the acquired bucket to be processed, a perceptron identifier identifying the perceptron into which to input the bucket to be processed; on the basis of the acquired perceptron identifier, acquiring artificial neural network configuration information that specifies the behavior of the perceptron; causing the perceptron to operate, on the basis of the acquired artificial neural network configuration information; causing the perceptron to perform a process on the basis of the input information included in said acquired bucket to be processed; and writing, to the bucket to be processed, information about the result of causing the perceptron to perform the process on the basis of the input information.
机译:[问题]提供一种甚至可以使用小型硬件实现的人工神经网络。 [解决方案]一种人工神经网络系统,其中由多个感知器执行的处理彼此耦合,所述人工神经网络系统的特征在于:获取待处理的桶,该桶包括用于将桶输入到感知器中的输入信息。从获取的待处理桶中获取感知器标识,标识用于输入待处理桶的感知器;在获取的感知器标识的基础上,获取指定感知器行为的人工神经网络配置信息;根据获取的人工神经网络配置信息,使感知器进行操作;根据包含在所述获取的桶中的输入信息,使感知器执行处理;根据输入的信息,将关于使感知器执行处理的结果的信息写入到要处理的桶中。

著录项

  • 公开/公告号WO2018135002A1

    专利类型

  • 公开/公告日2018-07-26

    原文格式PDF

  • 申请/专利权人 KAYAC INC.;

    申请/专利号WO2017JP02141

  • 发明设计人 KAIHATA MASANORI;HAYAKAWA RIKI;

    申请日2017-01-23

  • 分类号G06N3/10;

  • 国家 WO

  • 入库时间 2022-08-21 12:43:16

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