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1. 发明授权

US5621863A Neuron circuit 失效
标题翻译：神经元电路
公开(公告)号：US5621863A
公开(公告)日：1997-04-15
申请号：US481591
申请日：1995-06-07
申请人： Jean-Yves Boulet , Didier Louis , Catherine Godefroy , Andre Steimle , Pascal Tannhof , Guy Paillet
发明人： Jean-Yves Boulet , Didier Louis , Catherine Godefroy , Andre Steimle , Pascal Tannhof , Guy Paillet
IPC分类号： G06F15/18 , G06K9/66 , G06N3/00 , G06N3/06 , G06N3/063 , G06N3/08
CPC分类号： G06K9/6272 , G06K9/00986 , G06N3/063
摘要： In a neural network comprised of a plurality of neuron circuits, an improved neuron circuit that generates local result signals, e.g. of the fire type, and a local output signal of the distance or category type. The neuron circuit which is connected to buses that transport input data (e.g. the input category) and control signals. A multi-norm distance evaluation circuit calculates the distance D between the input vector and a prototype vector stored in a R/W memory circuit. A distance compare circuit compares this distance D with either the stored prototype vector's actual influence field or the lower limit thereof to generate first and second comparison signals. An identification circuit processes the comparison signals, the input category signal, the local category signal and a feedback signal to generate local result signals that represent the neuron circuit's response to the input vector. A minimum distance determination circuit determines the minimum distance Dmin among all the calculated distances from all of the neuron circuits of the neural network and generates a local output signal of the distance type. The circuit may be used to search and sort categories. The feed-back signal is collectively generated by all the neuron circuits by ORing all the local distances/categories. A daisy chain circuit is serially connected to corresponding daisy chain circuits of two adjacent neuron circuits to chain the neurons together. The daisy chain circuit also determines the neuron circuit state as free or engaged. Finally, a context circuitry enables or inhibits neuron participation with other neuron circuits in generation of the feedback signal.
摘要翻译：在由多个神经元电路组成的神经网络中，生成本地结果信号的改进的神经元电路，例如，的火灾类型，以及距离或类别类型的本地输出信号。连接到传送输入数据（例如输入类别）和控制信号的总线的神经元电路。多范围距离评估电路计算输入矢量和存储在R / W存储器电路中的原型矢量之间的距离D. 距离比较电路将该距离D与存储的原型矢量的实际影响场或其下限进行比较，以产生第一和第二比较信号。识别电路处理比较信号，输入类别信号，局部类别信号和反馈信号，以产生表示神经元电路对输入矢量的响应的本地结果信号。最小距离确定电路确定来自神经网络的所有神经元电路的所有计算距离中的最小距离Dmin，并产生距离类型的局部输出信号。该电路可用于搜索和分类。所有的神经元电路通过对所有的局部距离/类别进行OR运算来共同地产生反馈信号。菊花链电路串联连接到两个相邻神经元电路的相应菊花链电路，以将神经元链接在一起。菊花链电路还将神经元电路状态确定为自由或接合。最后，上下文电路在反馈信号的产生中实现或抑制与其他神经元电路的神经元参与。

2. 发明授权

US5740326A Circuit for searching/sorting data in neural networks 失效
标题翻译：用于在神经网络中搜索/排序数据的电路
公开(公告)号：US5740326A
公开(公告)日：1998-04-14
申请号：US486658
申请日：1995-06-07
申请人： Jean-Yves Boulet , Pascal Tannhof , Guy Paillet
发明人： Jean-Yves Boulet , Pascal Tannhof , Guy Paillet
IPC分类号： G06F15/18 , G06F7/544 , G06N3/00 , G06N3/04 , G06N3/06 , G06N3/063
CPC分类号： G06K9/6271 , G06F7/544 , G06N3/063 , G06K2209/01
摘要： In a neural network of N neuron circuits, having an engaged neuron's calculated p bit wide distance between an input vector and a prototype vector and stored in the weight memory thereof, an aggregate search/sort circuit (517) of N engaged neurons' search/sort circuits. The aggregate search/sort circuit determines the minimum distance among the calculated distances. Each search/sort circuit (502-1) has p elementary search/sort units connected in series to form a column, such that the aggregate circuit is a matrix of elementary search/sort units. The distance bit signals of the same bit rank are applied to search/sort units in each row. A feedback signal is generated by ORing in an OR gate (12.1) all local search/sort output signals from the elementary search/sort units of the same row. The search process is based on identifying zeroes in the distance bit signals, from the MSB's to the LSB's. As a zero is found in a row, all the columns with a one in that row are excluded from the subsequent row search. The search process continues until only one distance, the minimum distance, remains and is available at the output of the OR circuit. The above described search/sort circuit may further include a latch allowing the aggregate circuit to sort remaining distances in increasing order.
摘要翻译：在N个神经元电路的神经网络中，在输入向量和原型向量之间具有被约束的神经元计算的p位宽的距离并存储在其权重存储器中，N个接收的神经元的搜索/ 排序电路。聚合搜索/分类电路确定计算出的距离之间的最小距离。每个搜索/分类电路（502-1）具有串联连接的p个基本搜索/分类单元以形成列，使得聚合电路是基本搜索/分类单元的矩阵。相同位等级的距离位信号被应用于每行的搜索/排序单元。通过在或门（12.1）中对来自同一行的基本搜索/排序单元的所有本地搜索/排序输出信号进行“或”生成反馈信号。搜索过程基于识别距离位信号中的零，从MSB到LSB。由于在一行中找到零，所以在该行中具有一个列的列将从后续行搜索中排除。搜索过程继续，直到只有一个距离，最小距离保持，并且在OR电路的输出端可用。上述搜索/分类电路还可以包括允许聚合电路以增加的顺序对剩余距离进行排序的锁存器。

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