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Multilayer training in a physical neural network formed utilizing nanotechnology

机译:利用纳米技术形成的物理神经网络中的多层训练

摘要

A method for and system for training a connection network located between neuron layers within a multi-layer physical neural network. A multi-layer physical neural network can be formed having a plurality of inputs and a plurality outputs thereof, wherein the multi-layer physical neural network comprises a plurality of layers, wherein each layer comprises one or more connection networks and associated neurons. Thereafter, a training wave can be initiated across the connection networks associated with an initial layer of the multi-layer physical neural network which propagates thereafter through succeeding connection networks of succeeding layers of the neural network by successively closing and opening switches associated with each layer. One or more feedback signals thereof can be automatically provided to strengthen or weaken nanoconnections associated with each connection network.
机译:一种用于训练位于多层物理神经网络内的神经元层之间的连接网络的方法和系统。可以形成具有多个输入和多个输出的多层物理神经网络,其中,所述多层物理神经网络包括多个层,其中,每个层包括一个或多个连接网络和相关的神经元。此后,可以在与多层物理神经网络的初始层相关联的连接网络上发起训练波​​,该训练波此后通过依次闭合和断开与每一层相关联的开关,通过神经网络的后继层的后继连接网络传播。可以自动提供其一个或多个反馈信号以增强或减弱与每个连接网络关联的纳米连接。

著录项

  • 公开/公告号US7752151B2

    专利类型

  • 公开/公告日2010-07-06

    原文格式PDF

  • 申请/专利权人 ALEX NUGENT;

    申请/专利号US20080100622

  • 发明设计人 ALEX NUGENT;

    申请日2008-04-10

  • 分类号G06E1/00;G06E3/00;G06F15/18;G06G7/00;G06N3/02;

  • 国家 US

  • 入库时间 2022-08-21 18:48:06

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