首页> 外国专利> METHOD FOR TRAINING A NEURAL NETWORK, METHOD FOR CLASSIFYING A SEQUENCE OF INPUT PARAMETERS USING A NEURAL NETWORK, NEURAL NETWORK AND ARRAY FOR TRAINING A NEURAL NETWORK

METHOD FOR TRAINING A NEURAL NETWORK, METHOD FOR CLASSIFYING A SEQUENCE OF INPUT PARAMETERS USING A NEURAL NETWORK, NEURAL NETWORK AND ARRAY FOR TRAINING A NEURAL NETWORK

机译:神经网络的训练方法,使用神经网络,神经网络和用于训练神经网络的阵列对输入参数序列进行分类的方法

摘要

The neural network is trained for a first period in such a way that a discrimination value is maximized, wherein the discrimination value is dependent on impulses formed by the pulsed neurons during the first period. The first period is shortened in an iterative manner and a second discrimination value is formed for the second period until the second discrimination value is smaller than the maximum discrimination value. The trained neural network is the neural network of the last iteration in which the second discrimination value equals the maximum discrimination value.
机译:在第一时间段内训练神经网络,以使得鉴别值最大化,其中,鉴别值取决于在第一时间段内由脉冲神经元形成的脉冲。第一周期以迭代方式缩短,并且在第二周期中形成第二鉴别值,直到第二鉴别值小于最大鉴别值。训练后的神经网络是最后一次迭代的神经网络,其中第二辨别值等于最大辨别值。

著录项

  • 公开/公告号EP1114398B1

    专利类型

  • 公开/公告日2003-12-17

    原文格式PDF

  • 申请/专利权人 SIEMENS AKTIENGESELLSCHAFT;

    申请/专利号EP19990944234

  • 发明设计人 DECO GUSTAVO;SCHUERMANN BERND;

    申请日1999-07-01

  • 分类号G06N3/04;

  • 国家 EP

  • 入库时间 2022-08-21 22:59:40

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