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公开(公告)号：US5633988A
公开(公告)日：1997-05-27
申请号：US989503
申请日：1992-12-10
CPC分类号： G06N3/08
摘要： An adaptation method for a data processing system comprising a plurality of neurons each of which outputs an output according to a comparison between a sum of multiplied inputs by weights and a threshold, characterized in the threshold of the neuron which has generated significant output at certain point of time is compulsorily increased to a maximal value and the weight of the neuron is adapted for a constant value of the inputs wherein the threshold is decreased to a value at the point.
摘要翻译： 一种用于数据处理系统的适应方法，包括多个神经元，每个神经元根据通过权重的乘法输入和阈值之间的比较来输出输出，其特征在于在特定点产生有效输出的神经元的阈值 的时间被强制地增加到最大值，并且神经元的权重适用于输入的恒定值，其中阈值减小到该点处的值。
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公开(公告)号：US5185816A
公开(公告)日：1993-02-09
申请号：US627208
申请日：1990-12-13
CPC分类号： G06K9/6228 , G06N3/02
摘要： A method of selecting characteristics data for a data processing system from a group of input data for reducing data volume of each input data by said data processing system having a neural network structure or a structure equivalent thereto, where each input data consists of a plurality of said characteristics data. The method includes the steps of storing outputs of said input data; selecting a specific characteristics data of a pair of different input data; exchanging said characteristics data of said input data pair with each other; comparing outputs from said data processing system in response to said input data before and after the exchange of said characteristics data; and removing said characteristics data from said input data in said group, when a difference between said outputs before and after is comparatively small.
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3.发明授权Method for processing data using a neural network having a number of layers equal to an abstraction degree of the pattern to be processed 失效使用具有等于要处理的图案的抽象度的层数的神经网络来处理数据的方法
公开(公告)号：US5553196A
公开(公告)日：1996-09-03
申请号：US461538
申请日：1995-06-05
摘要： There is provided a layer construction of neural layers according to the abstraction degree of data to be processed, and data is inputted to a neural layer corresponding to its abstraction degree.
摘要翻译： 根据待处理数据的抽象度提供神经层的层次构造，并将数据输入到与其抽象度相对应的神经层。
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4.发明授权Neural network-type data processing system recognizing a predetermined shape using inhibitory connections 失效使用抑制连接识别预定形状的神经网络型数据处理系统
公开(公告)号：US5394510A
公开(公告)日：1995-02-28
申请号：US077393
申请日：1993-06-17
CPC分类号： G06K9/4623 , G06N3/04
摘要： A data processing system of the neural network type. The system recognizes a predetermined shape by providing some connections that are inhibitory between a plurality of neurons in a neural layer of the neural network. If data is found in the inhibitory area, it makes it harder for the neurons in the correct area to fire. Only when the neurons in the correct area fire is the predetermined shape recognized.
摘要翻译： 神经网络类型的数据处理系统。 该系统通过提供在神经网络的神经层中的多个神经元之间抑制的一些连接来识别预定的形状。 如果在抑制区域发现数据，则会使正确区域中的神经元更难燃烧。 只有当正确区域的神经元发生火灾时，才能识别出预定的形状。
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公开(公告)号：US5361328A
公开(公告)日：1994-11-01
申请号：US058035
申请日：1993-05-07
CPC分类号： G06N3/04
摘要： A data processing system comprising a plurality of neural layers characterized in that a part of neurons in one of the layers are connected to neurons in the following layer.
摘要翻译： 一种包括多个神经层的数据处理系统，其特征在于，一层中的一部分神经元连接到下一层中的神经元。
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6.发明授权Configuration recognition system calculating a three-dimensional distance to an object by detecting cross points projected on the object 失效配置识别系统通过检测投射在物体上的交叉点来计算与物体的三维距离
公开(公告)号：US5231678A
公开(公告)日：1993-07-27
申请号：US831095
申请日：1992-02-10
CPC分类号： G06T7/0057 , G01B11/25 , G06K9/2036
摘要： A 3-dimensional configuration recognition system comprising: a means for projecting a checker pattern onto a surface of a solid object; a means for thinning said checker pattern and for generating a thinned checker pattern; a means for extracting cross points of said thinned checker pattern; a couple of means for detecting 2-dimensional coordinate of said cross points; and a means for calculating 3-dimensional coordinate of said cross points from said 2-dimensional coordinate and positions of said couple of means.
摘要翻译： 一种三维配置识别系统，包括：用于将棋子图案投影到固体物体的表面上的装置; 用于减薄所述检验图案并产生薄化检验图案的装置; 用于提取所述薄化棋盘图案的交叉点的装置; 用于检测所述交叉点的二维坐标的两个装置; 以及用于从所述二维坐标和所述两对装置的位置计算所述交叉点的三维坐标的装置。
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公开(公告)号：US5259065A
公开(公告)日：1993-11-02
申请号：US884227
申请日：1992-05-11
CPC分类号： G06K9/4623 , G06N3/04
摘要： A data processing system of the neural network type. The system recognizes a predetermined shape by providing some connections that are inhibitory between a plurality of neurons in a neural layer of the neural network. If data is found in the inhibitory area, it makes it harder for the neurons in the correct area to fire. Only when the neurons in the correct area fire is the predetermined shape recognized.
摘要翻译： 神经网络类型的数据处理系统。 该系统通过提供在神经网络的神经层中的多个神经元之间抑制的一些连接来识别预定的形状。 如果在抑制区域发现数据，则会使正确区域中的神经元更难燃烧。 只有当正确区域的神经元发生火灾时，才能识别出预定的形状。
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公开(公告)号：US5195171A
公开(公告)日：1993-03-16
申请号：US767565
申请日：1991-09-30
IPC分类号： G06N3/04
CPC分类号： G06N3/04
摘要： A data processing system having a neural layer which comprises a neuron for comparing a sum of inputted data weighted by a weight with a threshold so as to output an output according to a result of the comparing, characterized in that the neural layer comprises as many neural layers as a difference between an abstraction degree of input and output data of the data processing system.
摘要翻译： 一种具有神经层的数据处理系统，包括：神经元，用于将由权重加权的输入数据的和与阈值进行比较，以便根据比较结果输出输出，其特征在于，所述神经层包括多个神经元 层作为数据处理系统的输入和输出数据的抽象度之间的差异。
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公开(公告)号：US5664069A
公开(公告)日：1997-09-02
申请号：US447775
申请日：1995-05-23
摘要： A data processing system including a plurality of neural layers characterized in that each neural layer is divided into a plurality of groups and that neurons in one of the group in one layer are connected only with neurons in corresponding group of adjacent layers, whereby independent neural cells are constructed each of which comprises corresponding groups of neurons. The minimum number of neural layers is equal to the difference between the degree of abstraction of an output data and the degree of abstraction of an input data.
摘要翻译： 一种包括多个神经层的数据处理系统，其特征在于，每个神经层被分成多个组，并且一层中的一个组中的神经元仅与相应组的相邻层中的神经元连接，由此独立的神经细胞 每个构造包括相应的神经元组。 神经层的最小数目等于输出数据的抽象度与输入数据抽象度之间的差异。
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公开(公告)号：US5463717A
公开(公告)日：1995-10-31
申请号：US549748
申请日：1990-07-09
摘要： A data processing system based on the concept of a neural network includes a normalizing circuit and driving elements. Each driving element has an output inductor magnetically coupled to an input inductor of the normalizing circuit. In the normalizing circuit, the input inductor is coupled to receive an input signal. The circuit also has a switching circuit responsive to the input signal and a switched inductor energized in response to the switched signal. The switched inductor comprising either a hooked or a spiral inductor.
摘要翻译： 基于神经网络的概念的数据处理系统包括归一化电路和驱动元件。 每个驱动元件具有磁耦合到归一化电路的输入电感器的输出电感器。 在归一化电路中，输入电感器被耦合以接收输入信号。 电路还具有响应于输入信号的开关电路和响应于开关信号而被激励的开关电感器。 开关电感器包括钩形或螺旋形电感器。
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