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Structure of oscillating neural network for artificial neural circuit and pattern separation and recognition

机译:人工神经电路的振荡神经网络结构及模式分离与识别

摘要

The present invention relates to an artificial neural network to which an artificial neural pulse coding principle is applied and a neural network constructed by using the artificial neural pulse coding principle and performing separation and recognition of a pattern using phase information of a neural circuit, A transistor M2 provided with a predetermined signal Vr3 and a transistor M2 connected between the two transistors M1 and M2 and provided with a predetermined input signal Sj A synapse circuit 10 constituted by a combination of the input signal Sj (M3) and emitting or absorbing a current 13 proportional to the weighting voltage when a predetermined input signal Sj (t) is provided, And a colorimetric projection circuit 30 for converting an output signal of the nerve body circuit 20 into a predetermined pulse string by a predetermined reference signal It is characterized by being composed
机译:人工神经网络技术领域本发明涉及一种应用了人工神经脉冲编码原理的人工神经网络,以及使用该人工神经脉冲编码原理并利用神经电路的相位信息进行图案的分离和识别而构建的神经网络。具有预定信号Vr3的M2和连接在两个晶体管M1和M2之间并具有预定输入信号Sj的晶体管M2。由输入信号Sj(M3)的组合构成并发射或吸收电流的突触电路10比色投影电路30的特征在于,当提供预定的输入信号Sj(t)时,该加权的电压与加权电压成正比,该比色投影电路30通过预定的参考信号将神经体电路20的输出信号转换为预定的脉冲串。

著录项

  • 公开/公告号KR950006630A

    专利类型

  • 公开/公告日1995-03-21

    原文格式PDF

  • 申请/专利权人 양승택;

    申请/专利号KR19930027865

  • 发明设计人 신종한;

    申请日1993-12-15

  • 分类号G06F15/18;

  • 国家 KR

  • 入库时间 2022-08-22 04:11:41

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