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    • 5. 发明授权
    • Neural system of classification and classification method using such a
system
    • 使用这种系统的分类和分类方法的神经系统
    • US5175796A
    • 1992-12-29
    • US684173
    • 1991-04-12
    • Philippe RefregierFrancois Vallet
    • Philippe RefregierFrancois Vallet
    • G06K9/66G06N3/04
    • G06K9/6281G06K9/6278G06N3/04
    • The disclosure concerns neural networks designed specially for the classification of objects represented by vectors X. If the vectors X include several parameters and if the objects have to be classified in a large number N of classes, the end result is a very large number of interconnections which become difficult to set up physically, are slow in their operation and require lengthy learning phases. The disclosed neural classification system has the particular feature of being constituted on the basis of P neural networks each individually carrying out the classification of objects in only two classes or, at any rate, in a small number of classes only. These networks give probabilities P.sub.i,j of membership in a class C.sub.i among two classes C.sub.i and C.sub.j. The outputs of these networks are connected to a signal processing module which, through simple functions (implementing linear combinations of the outputs and non-linear standardization functions) establishes, on N outputs, results P.sub.i (X) of classification among the N classes. The learning is done on classifications by pairs of classes, but the post-learning recognition gives classifications among N classes.
    • 本公开涉及专门用于由向量X表示的对象的分类的神经网络。如果向量X包括若干参数,并且如果对象必须被分类为大量N个类,则最终结果是非常大数量的互连 这些难以在身体上建立,运作缓慢,需要漫长的学习阶段。 所公开的神经分类系统具有基于P个神经网络构成的特征,每个P神经网络分别仅在两个类别中进行对象的分类,或者仅以少数类别进行分类。 这些网络给出了两类Ci和Cj之间的类Ci中的隶属度的概率Pi,j。 这些网络的输出连接到信号处理模块,信号处理模块通过简单的功能(实现输出和非线性标准化功能的线性组合)在N个输出上建立N类中分类的结果Pi(X)。 学习是通过课堂分类进行的,但是学习后的识别给出N类中的分类。
    • 7. 发明授权
    • Device for reading by optical sensor coherence
    • 通过光学传感器一致性读取的装置
    • US5058973A
    • 1991-10-22
    • US477810
    • 1990-02-27
    • Philippe RefregierDominique RojasMarc Turpin
    • Philippe RefregierDominique RojasMarc Turpin
    • G01D5/26
    • G01D5/266Y10S372/70
    • A reading device operates by the placing in interference of a reference signal, in the form of a fundamental wave train, with delayed wave trains constituting the useful signal. The device comprises an interferometer, a first branch (32) of which is traversed by at least said fundamental wave train (14), the first branch (32) being equipped, with means (37, 67, 87) for the generation of quantified delays of said fundamental wave train (14) with means (39) for the generation of a continuously variable delay of said fundamental wave train (14) over a range about each quantified delay value.
    • PCT No.PCT / FR89 / 00353 Sec。 371日期1990年2月27日第 102(e)1990年2月27日PCT PCT 1989年7月6日PCT公布。 出版物WO90 / 00721 日期1990年1月25日。读取装置通过以基波形式的参考信号的干扰与构成有用信号的延迟波列进行操作。 该装置包括干涉仪,第一分支(32)由至少所述基波列(14)穿过,第一分支(32)配备有用于产生定量的装置(37,67,87) 所述基本波束(14)的延迟具有用于在每个量化延迟值的范围内产生所述基波串(14)的连续可变延迟的装置(39)。
    • 9. 发明授权
    • Device for the recognition of sequences in a multidimensional signal
    • 用于识别多维信号中序列的设备
    • US5214716A
    • 1993-05-25
    • US662624
    • 1991-02-28
    • Philippe RefregierDominique PotierFrancois Micheron
    • Philippe RefregierDominique PotierFrancois Micheron
    • G06K9/68G06K9/80
    • G06K9/68G06K9/80
    • The disclosure relates to the recognition of sequences of multidimensional images and, notably, of image signals. The disclosed device includes, for each of said sequences to be recognized, a first circuit for the correlation of vectors representing the signal with a masking vector determined from the vectors representing the sequence to be recognized, producing a series of values corresponding to the degree of similarity of the two correlated vectors, a second circuit for the correlation of a sequence of the series of values with a reference sequence determined from the vectors forming said sequence to be recognized, producing values that correspond to the degree of similarity of the two correlated sequences, and a circuit for deciding on the validity of the recognition, by comparison of the values corresponding to the degree of similarity of the two correlated sequences with a threshold value.
    • 本公开涉及对多维图像序列的识别,特别是图像信号的识别。 所公开的装置对于要被识别的每个所述序列包括第一电路,用于将表示信号的矢量与由表示要识别的序列的矢量确定的掩蔽矢量相关联,产生一系列对应于 两个相关矢量的相似性,用于将一系列值的序列与由形成所述待识别序列的矢量确定的参考序列相关的第二电路产生与两个相关序列的相似度相对应的值 以及用于通过将与两个相关序列的相似度对应的值与阈值进行比较来决定识别的有效性的电路。