Neural network system adapted for non-linear processing
    2.
    发明公开
    Neural network system adapted for non-linear processing 失效
    适用于非线性加工的神经网络系统

    公开(公告)号:EP0488150A3

    公开(公告)日:1994-06-08

    申请号:EP91120155.6

    申请日:1991-11-26

    IPC分类号: G06F15/80

    摘要: A neural network system includes a qualitative evaluation section (2), a neural network section (5), a quantifying section (3) and a display section (32). The qualitative evaluation section (2) qualitatively analyzes an unknown data supplied thereto, and normalizes the result of analysis within a predetermined range. The neural network section (5) having a neural network (6) with plural neurons computes the network output data from the normalized unknown data produced by the qualitative evaluation section (2). Each neuron is connected to plural of neurons through synapses, each of which is assigned with a weight coefficient. Each neuron is adapted to output an output function value assigned thereto associated with the total sum of the products of the output from the neurons connected thereto and the synapse weight coefficient. The quantifying section (3) quantifies the network output data to produce desired data. The desired data thus produced is displayed on the display section.

    Neural network system adapted for non-linear processing
    3.
    发明公开
    Neural network system adapted for non-linear processing 失效
    神经元Netzwerk,angepasstfürnicht-lineare Verarbeitung。

    公开(公告)号:EP0488150A2

    公开(公告)日:1992-06-03

    申请号:EP91120155.6

    申请日:1991-11-26

    IPC分类号: G06F15/80

    摘要: A neural network system includes a qualitative evaluation section (2), a neural network section (5), a quantifying section (3) and a display section (32). The qualitative evaluation section (2) qualitatively analyzes an unknown data supplied thereto, and normalizes the result of analysis within a predetermined range. The neural network section (5) having a neural network (6) with plural neurons computes the network output data from the normalized unknown data produced by the qualitative evaluation section (2). Each neuron is connected to plural of neurons through synapses, each of which is assigned with a weight coefficient. Each neuron is adapted to output an output function value assigned thereto associated with the total sum of the products of the output from the neurons connected thereto and the synapse weight coefficient. The quantifying section (3) quantifies the network output data to produce desired data. The desired data thus produced is displayed on the display section.

    摘要翻译: 神经网络系统包括定性评估部分(2),神经网络部分(5),量化部分(3)和显示部分(32)。 定性评价部(2)定性地分析提供给其的未知数据,并将分析结果归一化在预定范围内。 具有具有多个神经元的神经网络(6)的神经网络部分(5)从由定性评估部分(2)产生的归一化未知数据计算网络输出数据。 每个神经元通过突触连接到多个神经元,每个神经元被赋予权重系数。 每个神经元适于输出与其相关联的输出功能值,其与从其连接的神经元的输出的产物和突触加权系数的总和相关联。 量化部分(3)量化网络输出数据以产生期望的数据。 由此产生的期望数据显示在显示部分上。