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Artificial neural network system, control method of artificial neural network, and data structure for artificial neural network

机译:人工神经网络系统,人工神经网络控制方法,以及人工神经网络的数据结构

摘要

An artificial neural network that can be realized even with small-scale hardware is provided. An artificial neural network system in which processing by a plurality of perceptrons is connected, a processing target bucket including input information to be input to the perceptron is acquired, and a perceptron for inputting the acquired processing target bucket A perceptron identifier that identifies the perceptron is acquired from the processing target bucket, artificial neural network setting information that identifies the perceptron behavior is acquired based on the acquired perceptron identifier, and the perceptron is operated based on the acquired artificial neural network setting information. The processing target is executed based on the input information included in the acquired processing target bucket, and information on the result of causing the perceptron to execute the processing based on the input information is described in the processing target bucket. [Selection] Figure 4
机译:提供了即使具有小规模硬件也可以实现的人工神经网络。一种人工神经网络系统,其中连接多个感知器的处理,获取包括要输入到Perceptron的输入信息的处理目标桶,并且用于输入所获取的处理目标桶的Perceptron标识符是识别Perceptron的Perceptron标识符从处理目标桶中获取,基于所获取的Perceptron标识获取识别Perceptron行为的人工神经网络设置信息,并且基于所获取的人工神经网络设置信息来操作Perceptron。基于所获取的处理目标桶中包括的输入信息执行处理目标,并且在处理目标桶中描述了导致基于输入信息执行处理的结果的信息。 [选择]图4

著录项

  • 公开/公告号JP6964607B2

    专利类型

  • 公开/公告日2021-11-10

    原文格式PDF

  • 申请/专利权人 株式会社カヤック;

    申请/专利号JP20180562851

  • 发明设计人 貝畑 政徳;早河 力;

    申请日2017-01-23

  • 分类号G06N3/10;

  • 国家 JP

  • 入库时间 2022-08-24 22:09:39

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