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公开(公告)号：US5479570A
公开(公告)日：1995-12-26
申请号：US130851
申请日：1993-10-04
CPC分类号： G06N3/08 , G06K9/6807
摘要： A learning and recognition machine has a major classification section for classifying an input pattern into a plurality of category groups and calculating a group belongingness to each category group and a plurality of fine classification sections for calculating a similarity within each category group. The machine causes the plurality of fine classification sections to learn in a coordinated manner by reflecting the group belongingness of the input pattern to update of a weight factor implemented in the fine classification sections, thereby allowing a recognition rate of a pattern situated at the boundary of the category groups to be improved and an effective supplemental learning to be performed.
摘要翻译： 学习识别机具有主要的分类部分，用于将输入模式分类成多个类别组并计算每个类别组的属性，以及用于计算每个类别组内的相似度的多个精细分类部分。 机器使多个精细分类部通过反映输入图案的组属性来更新在精细分类部中实现的权重因子，从而以协调的方式学习，从而允许位于边界处的图案的识别率 要改进的类别组和有效的补充学习。
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2.发明授权Waveform signal equalizing method and apparatus and signal recording and reproducing apparatus 失效波形信号均衡方法和装置以及信号记录和再现装置
公开(公告)号：US5802505A
公开(公告)日：1998-09-01
申请号：US577347
申请日：1995-12-22
申请人： Susumu Maruno , Sigeo Sakaue , Yasuharu Simeki , Taro Imagawa , Toshiyuki Kouda
发明人： Susumu Maruno , Sigeo Sakaue , Yasuharu Simeki , Taro Imagawa , Toshiyuki Kouda
CPC分类号： G11B20/10009
摘要： A learning type signal recording and reproducing apparatus has a signal detector for detecting signals recorded on recording media, a teaching signal generator for generating reference teaching signals having predetermined waveform signal patterns, and a learning type waveform converter for generating converting rules from signals recorded on the recording medium to original signals corresponding to the recorded signals, by learning the relationship between the detection results by the signal detector of teaching signals recorded on the recording media and reference teaching signals outputted by the teaching signal generator. With this apparatus, signals can be stably reproduced even if the signals contain distortion caused by noise or difference in the recording media.
摘要翻译： 学习型信号记录和再现装置具有用于检测记录在记录介质上的信号的信号检测器，用于产生具有预定波形信号图形的参考教学信号的教学信号发生器，以及学习型波形转换器， 通过学习信号检测器对记录在记录媒体上的教导信号的检测结果与由教学信号发生器输出的参考教学信号之间的关系，将记录介质记录到与记录信号相对应的原始信号。 利用该装置，即使信号包含由噪声引起的失真或记录介质的差异，也能够稳定地再现信号。
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公开(公告)号：US5606538A
公开(公告)日：1997-02-25
申请号：US614102
申请日：1996-03-12
申请人： Susumu Maruno , Toshiyuki Kouda , Taro Imagawa
发明人： Susumu Maruno , Toshiyuki Kouda , Taro Imagawa
CPC分类号： H04L25/03165 , G11B20/10 , G11B20/10009 , H04L2025/03464
摘要： The signal recording and reproducing apparatus of this invention includes: a signal detector for detecting a teacher signal and an information signal recorded on a recording medium; a converting section for converting the teacher signal and the information signal detected by the signal detector into a reproduction teacher signal and a reproduction information signal, respectively, based on a predetermined conversion rule; and a teacher signal generator for generating a reference teacher signal, wherein the teacher signal is first detected before the detection of the information signal, and the converting means includes a learning type waveform converting section for automatically establishing the predetermined conversion rule based on the reproduction teacher signal and the reference teacher signal.
摘要翻译： 本发明的信号记录和再现装置包括：信号检测器，用于检测教师信号和记录在记录介质上的信息信号; 转换部分，用于基于预定的转换规则将教师信号和由信号检测器检测到的信息信号分别转换成再现教师信号和再现信息信号; 以及用于产生参考教师信号的教师信号发生器，其中在信息信号的检测之前首先检测教师信号，并且转换装置包括学习型波形转换部分，用于基于再现教师自动建立预定的转换规则 信号和参考教师信号。
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公开(公告)号：US06191773B1
公开(公告)日：2001-02-20
申请号：US08945628
申请日：1998-01-02
申请人： Susumu Maruno , Taro Imagawa , Michiyo Moriya , Kenji Kondo
发明人： Susumu Maruno , Taro Imagawa , Michiyo Moriya , Kenji Kondo
IPC分类号： G09G508
CPC分类号： G06F3/017 , H04N21/4223
摘要： The invention relates to an interface apparatus for making input and output of appliances having display such as computer, word processor, information appliance and television, comprising recognizing means for recognizing the shape or move of the hand of an operator, display means for displaying the features of the shape or move of the hand recognized by the recognizing means as special shape in the screen, and control means for controlling the information displayed in the screen by the special shape displayed in the screen by the display means, wherein the two-dimensional or three-dimensional information displayed in the screen can be selected, indicated or moved only by changing the shape or moving the hand, so that the interface apparatus of very excellent controllability and high diversity may be presented.
摘要翻译： 本发明涉及一种用于输入和输出具有诸如计算机，文字处理器，信息设备和电视的显示器的接口装置，包括用于识别操作者的手的形状或移动的识别装置，用于显示特征的显示装置 由识别装置识别的手的形状或移动在屏幕中的特殊形状;以及控制装置，用于通过显示装置在屏幕中显示的特殊形状来控制在屏幕中显示的信息，其中二维或 可以通过改变形状或移动手来选择，指示或移动屏幕中显示的三维信息，从而可以呈现非常优秀的可控性和高分集度的接口装置。
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5.发明授权
公开(公告)号：US5754709A
公开(公告)日：1998-05-19
申请号：US508037
申请日：1995-07-27
CPC分类号： G06T7/0083 , G06T2207/10016 , G06T2207/20021
摘要： The present invention relates to an image processing apparatus in which gradation correction on each partial region is performed between an image input means and an edge extracting means so that an edge of a region within an image is accurately extracted. An image dividing means 2, which had already learned a relationship between the condition of an image and the necessity of image division so as to judge the condition of the image based on learning results and divide the image appropriately, divides an input image from an image input means 1 into a plurality of image blocks. An image correction information extracting means 3 calculates correction information on each image block. A gradation correction means 4, which had already learned a relationship between correction information and non-linear correction curves to judge correction information based on learning results and perform gradation correction on a target image block using a selected curve, performs gradation correction and enhances an edge which is to be extracted. An image synthesizing means 5 recombines the respective corrected image blocks. An edge extracting means 6 extracts an edge from a synthesized image. An image output means 7 outputs an edge image.
摘要翻译： 本发明涉及一种图像处理装置，其中在图像输入装置和边缘提取装置之间执行每个部分区域的灰度校正，使得图像内的区域的边缘被精确地提取。 已经学习了图像的状态与图像分割的必要性之间的关系的图像分割装置2，以便基于学习结果来判断图像的状况并适当地分割图像，从图像中分割输入图像 输入装置1形成多个图像块。 图像校正信息提取装置3计算每个图像块的校正信息。 已经学习了校正信息和非线性校正曲线之间的关系的灰度校正装置4，以基于学习结果来判断校正信息，并且使用所选曲线对目标图像块执行灰度校正，执行灰度校正并增强边缘 这将被提取。 图像合成装置5将各个校正图像块复合。 边缘提取装置6从合成图像中提取边缘。 图像输出装置7输出边缘图像。
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6.发明授权
公开(公告)号：US5452402A
公开(公告)日：1995-09-19
申请号：US155865
申请日：1993-11-23
摘要： In a multi-layered neural network circuit provided with an input layer having input vectors, an intermediate layer having networks in tree-like structure whose outputs are necessarily determined by the values of the input vectors and whose number corresponds to the number of the input vectors of the input layer, and an output layer having plural output units for integrating all outputs of the intermediate layer, provided are learning-time memories for memorizing the numbers of times at learning in paths between the intermediate layer and the respective output units, threshold processing circuits for threshold-processing the outputs of the leaning-time memories, and connection control circuits to be controlled by the outputs of the threshold processing circuits for controlling connection of paths between the intermediate layer and the output units. The outputs of the intermediate layer connected by the connection control circuits are summed in each output unit. Thus, the neural network circuit for recognizing an image or the like can execute recognition and learning of data to be recognized at high speed with small circuit size, and the recognition accuracy for unlearned data is high.
摘要翻译： 在设置有具有输入向量的输入层的多层神经网络电路中，具有树状结构的网络的中间层，其输出必须由输入向量的值决定，其数量对应于输入向量的数量 以及输出层，具有用于积分中间层的所有输出的多个输出单元，所述输出层是用于存储中间层和各个输出单元之间的路径中学习次数的学习时间存储器，阈值处理 用于对倾斜时间存储器的输出进行阈值处理的电路和由用于控制中间层和输出单元之间的路径连接的阈值处理电路的输出来控制的连接控制电路。 由连接控制电路连接的中间层的输出在每个输出单元中相加。 因此，用于识别图像等的神经网络电路可以以较小的电路尺寸执行高速识别的数据的识别和学习，并且未被读取的数据的识别精度高。
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公开(公告)号：US5987170A
公开(公告)日：1999-11-16
申请号：US965534
申请日：1997-11-06
申请人： Hiroshi Yamamoto , Hisao Niwa , Yoshihiro Kojima , Susumu Maruno , Kazuhiro Kayashima , Yasuharu Shimeki , Toshiyuki Kouda , Hidetsugu Maekawa , Satoru Ito
发明人： Hiroshi Yamamoto , Hisao Niwa , Yoshihiro Kojima , Susumu Maruno , Kazuhiro Kayashima , Yasuharu Shimeki , Toshiyuki Kouda , Hidetsugu Maekawa , Satoru Ito
IPC分类号： G06K9/72
CPC分类号： G06K9/726 , G06K2209/01
摘要： There is disclosed a character recognition machine adapted to recognize Japanese characters such as kanjis and kanas. The machine comprises a character string storage portion, a character extraction portion, a character recognition portion, and a language processing portion. A character string to be recognized is stored as an image in the storage portion. The character extraction portion comprises a network consisting a plurality of interconnected operators each of which has numerous inputs and outputs. An evaluation function which assumes its minimum value when a character extraction produces the best results is calculated by the operators simultaneously so as to minimize the value of the function. The character recognition portion calculates degrees of similarity of a character pattern to various character categories, the character pattern being applied from the character extraction portion. The language processing portion receives these degrees of similarity and selects a character category which seems to provide the most correct combination of characters in terms of vocabulary and grammar.
摘要翻译： 公开了一种适于识别诸如kanjis和kanas之类的日本字符的字符识别机。 机器包括字符串存储部分，字符提取部分，字符识别部分和语言处理部分。 要识别的字符串作为图像存储在存储部分中。 字符提取部分包括由多个互连操作器组成的网络，每个操作器具有许多输入和输出。 当字符提取产生最佳结果时，假设其最小值的评估函数由运算符同时计算，以便使函数的值最小化。 字符识别部分从字符提取部分计算字符图案与各种字符类别的相似度，字符图案被应用。 语言处理部分接收这些相似度，并且选择似乎在词汇和语法方面提供最正确的字符组合的字符类别。
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公开(公告)号：US6041141A
公开(公告)日：2000-03-21
申请号：US513294
申请日：1995-08-10
申请人： Hiroshi Yamamoto , Hisao Niwa , Yoshihiro Kojima , Susumu Maruno , Kazuhiro Kayashima , Toshiyuki Kouda , Hidetsugu Maekawa , Satoru Ito , Yasuharu Shimeki
发明人： Hiroshi Yamamoto , Hisao Niwa , Yoshihiro Kojima , Susumu Maruno , Kazuhiro Kayashima , Toshiyuki Kouda , Hidetsugu Maekawa , Satoru Ito , Yasuharu Shimeki
CPC分类号： G06K9/726 , G06K2209/01
摘要： There is disclosed a character recognition machine adapted to recognize Japanese characters such as kanjis and kanas. The machine comprises a character string storage portion, a character extraction portion, a character recognition portion, and a language processing portion. A character string to be recognized is stored as an image in the storage portion. The character extraction portion comprises a network consisting a plurality of interconnected operators each of which has numerous inputs and outputs. An evaluation function which assumes its minimum value when a character extraction produces the best results is calculated by the operators simultaneously so as to minimize the value of the function. The character recognition portion calculates degrees of similarity of a character pattern to various character categories, the character pattern being applied from the character extraction portion. The language processing portion receives these degrees of similarity and selects a character category which seems to provide the must correct combination of characters in terms of vocabulary and grammar.
摘要翻译： 公开了一种适于识别诸如kanjis和kanas之类的日本字符的字符识别机。 机器包括字符串存储部分，字符提取部分，字符识别部分和语言处理部分。 要识别的字符串作为图像存储在存储部分中。 字符提取部分包括由多个互连操作器组成的网络，每个操作器具有许多输入和输出。 当字符提取产生最佳结果时，假设其最小值的评估函数由运算符同时计算，以便使函数的值最小化。 字符识别部分从字符提取部分计算字符图案与各种字符类别的相似度，字符图案被应用。 语言处理部分接收这些相似程度，并且选择似乎在词汇和语法方面提供必须正确的字符组合的字符类别。
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公开(公告)号：US5621862A
公开(公告)日：1997-04-15
申请号：US281683
申请日：1994-07-28
申请人： Hiroyuki Nakahira , Masakatsu Maruyama , Shiro Sakiyama , Susumu Maruno , Toshiyuki Kouda , Masaru Fukuda
发明人： Hiroyuki Nakahira , Masakatsu Maruyama , Shiro Sakiyama , Susumu Maruno , Toshiyuki Kouda , Masaru Fukuda
CPC分类号： G06K9/00986 , G06K9/6267 , G06N3/082 , G06N3/10
摘要： In an information processing apparatus for implementing a neural network, if an input vector is inputted to a calculating unit, a neuron which responds to the input vector is retrieved in accordance with network interconnection information stored in a first storage unit and the neuron number indicating the retrieved neuron is written in a first register. The calculating unit reads out the internal information of the neuron stored in a second storage unit by using the neuron number, writes it in a second register, and calculates the sum of products of the outputs of the neurons and the connection loads of synapses connected to the neurons. By repeating the sequence of operations by the number of times corresponding to the total number of input vectors, a recognition process is executed. The neural network can easily be expanded by rewriting the contents of the first and second storage units.
摘要翻译： 在用于实现神经网络的信息处理装置中，如果将输入向量输入到计算单元，则根据存储在第一存储单元中的网络互连信息来检索响应于输入向量的神经元，并且指示 检索到的神经元被写入第一个寄存器。 计算单元通过使用神经元号读取存储在第二存储单元中的神经元的内部信息，将其写入第二寄存器，并且计算神经元的输出和连接到的突触的连接负载的乘积之和 神经元。 通过将操作序列重复与输入向量的总数相对应的次数，执行识别处理。 可以通过重写第一和第二存储单元的内容来容易地扩展神经网络。
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公开(公告)号：US5329594A
公开(公告)日：1994-07-12
申请号：US845248
申请日：1992-03-03
摘要： A recognizing and judging apparatus has a network organized in a multilayered hierarchical manner and a plurality of branched tree structures corresponding to the number of inputted data. The branched tree structures are organized by a plurality of recognition units, each of which includes a signal input section and a quantizer for performing a quantization according to a signal inputted from the signal input section. Each of the recognition units further includes a path input section having at least one path input terminal, a path output section having at least one path output terminal, and a path selecting section operatively coupled with both the path input section and the path output section for performing a selection of paths according to an output of the quantizer.
摘要翻译： 识别和判断装置具有以多层次分层方式组织的网络和对应于输入数据数量的多个分支树结构。 分支树结构由多个识别单元组织，每个识别单元包括信号输入部分和用于根据从信号输入部分输入的信号进行量化的量化器。 每个识别单元还包括具有至少一个路径输入端的路径输入部分，具有至少一个路径输出端的路径输出部分和与路径输入部分和路径输出部分可操作地耦合的路径选择部分，用于 根据量化器的输出执行路径选择。
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