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Neural network has multiple layers and the design.

机译:神经网络具有多层设计。

摘要

Disclosed is a multi-layer neural network and circuit design method. The multi-layer neural network receiving an m-bit input and generating an n-bit output comprises a neuron having a cascaded pair of CMOS inverters and having an output node of the preceding CMOS inverter among the pair of CMOS inverters as its inverted output node and an output node of the succeeding CMOS inverter as its non-inverted output node, an input layer having m neurons to receive the m-bit input, an output layer having n neurons to generate the n-bit output, at least one hidden layer provided with n neurons to transfer the input received from the input layer to the directly upper hidden layer or the output layer, an input synapse group in a matrix having each predetermined weight value to connect each output of neurons on the input layer to each neuron of the output layer and at least one hidden layer, at least one transfer synapse group in a matrix having each predetermined weight value to connect each output of neurons of the hidden layer to each neuron of its directly upper hidden layer or of the output layer, and a bias synapse group for biasing each input node of neurons of the hidden layers and the output layer.
机译:公开了一种多层神经网络和电路设计方法。接收m位输入并生成n位输出的多层神经网络包括一个神经元,该神经元具有级联的CMOS反相器对,并具有CMOS反相器对中的前一个CMOS反相器的输出节点作为其反相输出节点。后继的CMOS反相器的输出节点作为其非反相输出节点,输入层具有m个神经元以接收m位输入,输出层具有n个神经元以生成n位输出,至少一个隐藏层设有n个神经元以将从输入层接收的输入传输到直接上层隐藏层或输出层,矩阵中的输入突触组具有每个预定的权重值,以将输入层上神经元的每个输出连接到神经元的每个神经元。输出层和至少一个隐藏层,矩阵中的至少一个转移突触组,每个矩阵具有每个预定的权重值,以将隐藏层的神经元的每个输出与其直接上层神经元的每个神经元相连隐藏层或输出层,以及偏置突触组,用于偏置隐藏层和输出层的神经元的每个输入节点。

著录项

  • 公开/公告号FR2665968B1

    专利类型

  • 公开/公告日1994-11-18

    原文格式PDF

  • 申请/专利权人 SAMSUNG ELECTRONICS CO LTD;

    申请/专利号FR19910010413

  • 发明设计人 SIN-JIN KIM;CHUNG HO-SUN;

    申请日1991-08-19

  • 分类号G06F15/76;

  • 国家 FR

  • 入库时间 2022-08-22 04:07:16

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