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1. 发明授权

US5621862A Information processing apparatus for implementing neural network 失效
标题翻译：用于实现神经网络的信息处理设备
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
IPC分类号： G06K9/66 , G06N3/08 , G06N3/10 , G06F15/18
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。

2. 发明授权

US5452402A Neural network circuit for adaptively controlling the coupling of neurons 失效
标题翻译：用于自适应控制神经元耦合的神经网络电路
公开(公告)号：US5452402A
公开(公告)日：1995-09-19
申请号：US155865
申请日：1993-11-23
申请人： Shiro Sakiyama , Masakatsu Maruyama , Hiroyuki Nakahira , Toshiyuki Kouda , Susumu Maruno
发明人： Shiro Sakiyama , Masakatsu Maruyama , Hiroyuki Nakahira , Toshiyuki Kouda , Susumu Maruno
IPC分类号： G06F15/18 , G06N3/04 , G06N3/08 , G06N99/00 , G06T7/00 , G06F15/00
CPC分类号： G06K9/62 , G06N3/08 , G06N3/082
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。

3. 发明授权

US5636327A Neural network circuit 失效
标题翻译：神经网络电路
公开(公告)号：US5636327A
公开(公告)日：1997-06-03
申请号：US409949
申请日：1995-03-23
申请人： Hiroyuki Nakahira , Shiro Sakiyama , Masakatsu Maruyama , Susumu Maruno
发明人： Hiroyuki Nakahira , Shiro Sakiyama , Masakatsu Maruyama , Susumu Maruno
IPC分类号： G06N3/063 , G06F15/18
CPC分类号： G06K9/4628 , G06K9/00986 , G06N3/063
摘要： In a multilayered neural network for recognizing and processing characteristic data of images and the like by carrying out network arithmetical operations, characteristic data memories store the characteristic data of the layers. Coefficient memories store respective coupling coefficients of the layers other than the last layer. A weight memory stores weights of neurons of the last layer. Address converters carry out arithmetical operations to find out addresses of nets of the network whose coupling coefficients are significant. A table memory outputs a total coupling coefficient obtained by inter-multiplying the significant coupling coefficients read out from the coefficient memories of the layers. A cumulative operation unit performs cumulative additions of the product of the total coupling coefficient times the weight of the weight memory. Arithmetical operations are carried out only on particular nets with a significant coupling coefficient value. The speed of operation and recognition can be improved.
摘要翻译：在通过进行网络算术运算来识别和处理图像等的特征数据的多层神经网络中，特征数据存储器存储层的特征数据。系数存储器存储不同于最后层的层的相应耦合系数。体重记忆存储最后层的神经元的权重。地址转换器进行算术运算，找出耦合系数很大的网络网络地址。表存储器输出通过相互乘以从层的系数存储器读出的有效耦合系数而获得的总耦合系数。累积操作单元执行总耦合系数乘以权重存储器的权重的乘积的累积加法。仅对具有显着耦合系数值的特定网络进行算术运算。可以提高运行和识别的速度。

4. 发明授权

US5479570A Learning and recognition machine 失效
标题翻译：学习识别机
公开(公告)号：US5479570A
公开(公告)日：1995-12-26
申请号：US130851
申请日：1993-10-04
申请人： Taro Imagawa , Toshiyuki Kouda , Yoshihiro Kojima , Susumu Maruno , Yasuharu Shimeki
发明人： Taro Imagawa , Toshiyuki Kouda , Yoshihiro Kojima , Susumu Maruno , Yasuharu Shimeki
IPC分类号： G06K9/68 , G06N3/08 , G06F15/18
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。

5. 发明授权

US5802505A Waveform signal equalizing method and apparatus and signal recording and reproducing apparatus 失效
标题翻译：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
IPC分类号： G11B20/10 , G05B13/00 , G06F15/18
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。

6. 发明授权

US5987170A Character recognition machine utilizing language processing 失效
标题翻译：字符识别机利用语言处理
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。

7. 发明授权

US5606538A Learning type signal recording and reproducing apparatus 失效
标题翻译：学习型信号记录和再现装置
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
IPC分类号： G11B20/10 , H04L25/03 , G11B7/00
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。

8. 发明授权

US6041141A Character recognition machine utilizing language processing 失效
标题翻译：字符识别机利用语言处理
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
IPC分类号： G06K9/72 , G06K9/68
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。

9. 发明授权

US5329594A Recognizing and judging apparatus 失效
标题翻译：识别和判断装置
公开(公告)号：US5329594A
公开(公告)日：1994-07-12
申请号：US845248
申请日：1992-03-03
申请人： Susumu Maruno , Shigeo Sakaue , Toshiyuki Kohda , Yoshihiro Kojima
发明人： Susumu Maruno , Shigeo Sakaue , Toshiyuki Kohda , Yoshihiro Kojima
IPC分类号： G06K9/66 , G06N3/04 , G06K9/62
CPC分类号： G06N3/04 , G06K9/66
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。

10. 发明授权

US5296920A Color gradation correction method and apparatus 失效
标题翻译：彩色灰度校正方法和装置
公开(公告)号：US5296920A
公开(公告)日：1994-03-22
申请号：US945626
申请日：1992-09-16
申请人： Shigeo Sakaue , Susumu Maruno , Haruo Yamashita , Yasuki Matsumoto , Hideshi Ishihara
发明人： Shigeo Sakaue , Susumu Maruno , Haruo Yamashita , Yasuki Matsumoto , Hideshi Ishihara
IPC分类号： B41J2/52 , G06T5/00 , G09G5/00 , G09G5/02 , H04N1/00 , H04N1/60 , H04N9/69 , H04N9/77
CPC分类号： H04N1/00795 , H04N1/6027 , H04N9/69
摘要： A gradation correction apparatus for processing R, G, and B input signals includes a luminance signal conversion device for obtaining the original luminance signal, which is before gamma conversion, from the input signals, a luminance gamma conversion device for gamma converting the original luminance signal to the desired gradation characteristics to obtain a gamma converted luminance signal, a correction coefficient calculation means for obtaining a ratio of the gamma converted luminance signal to the original luminance signal, a first RGB operation means for multiplying the ratio by each of the R, G, and B input signals for obtaining primary gradation-corrected R, G, and B signals; a color difference signal operation means for producing a difference between each of the R, G, and B input signals and the original luminance signal; a second RGB operation means for adding the gamma converted luminance signal to each of the difference for obtaining secondary gradation-corrected R, G, and B signals; and an RGB determination means for obtaining final gradation-corrected R, G, B signals based on the primary and secondary gradation-corrected R, G, and B signals.
摘要翻译：用于处理R，G和B输入信号的灰度校正装置包括用于从输入信号获得伽马变换之前的原始亮度信号的亮度信号转换装置，用于伽马转换原始亮度信号的亮度伽玛转换装置获得所需的灰度特性以获得伽马转换的亮度信号;校正系数计算装置，用于获得伽马转换的亮度信号与原始亮度信号的比率;第一RGB操作装置，用于将该比率乘以每个R，G 和B输入信号，用于获得初级灰度校正的R，G和B信号; 用于产生R，G和B每个输入信号与原始亮度信号之间的差的色差信号操作装置; 第二RGB操作装置，用于将伽马转换的亮度信号加到每个差值上，以获得二次灰度校正的R，G和B信号; 以及RGB确定装置，用于基于一次和二次灰度校正的R，G和B信号获得最终灰度校正的R，G，B信号。

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