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1. 发明公开

EP0708390A2 Supporting method and system for process operation 失效
标题翻译： Unterstützungsverfahrenund -vorrichtungfürden Betrieb einer Anlage
公开(公告)号：EP0708390A2
公开(公告)日：1996-04-24
申请号：EP95118768.1
申请日：1990-03-13
申请人： HITACHI, LTD.
发明人： Baba, Kenji , Enbutsu, Ichiro , Watanabe, Shoji , Yahagi, Hayao , Maruhashi, Fumio , Matsuzaki, Harumi , Matsumoto, Hiroshi , Nogita, Shunsuke , Yoda, Mikio , Hara, Naoki
IPC分类号： G05B13/02
CPC分类号： G05B13/027 , C02F1/008 , G05B13/0285 , Y10S706/903 , Y10S706/906
摘要： A method for extracting as knowledge causal relationships between input variables and an output variable of a neural circuit model, said neural circuit model being of a hierarchical structure constructed of an input layer, at least one hidden layer and an output layer and having performed learning a limited number of times by determining weight factors between mutually-connected neuron element models in different layers of the input layer, hidden layer and output layer, wherein with respect to plural routes extending from a neuron element model, corresponding to a particular input variable, of the input layer to a neuron element model, corresponding to a particular output variable, of the output layer by way of the individual neuron element models of the hidden layer, a product of the weight factors for each of the routes is determined, and the products for the plural routes are summed, whereby the sum is employed as a measure for the determination of the causal relationship between the particular input variable and the particular output variable.
摘要翻译：一种用于提取输入变量与神经电路模型的输出变量之间的知识因果关系的方法，所述神经电路模型是由输入层，至少一个隐藏层和输出层构成的分层结构，并且已经执行了学习通过确定输入层，隐层和输出层的不同层中相互连接的神经元元素模型之间的权重因子的有限次数，其中相对于从对应于特定输入变量的神经元元素模型延伸的多个路线，通过隐藏层的各个神经元元素模型将输入层输入到输出层对应于特定输出变量的神经元元素模型，确定每个路线的权重因子的乘积，并且产品多数路线被归纳为总和，由此作为衡量第th之间因果关系的措施特定的输入变量和特定的输出变量。

2. 发明公开

EP0191498A3 Thermal transfer sheet 失效
标题翻译：热转印片
公开(公告)号：EP0191498A3
公开(公告)日：1988-05-25
申请号：EP86101902
申请日：1986-02-14
申请人： HITACHI, LTD. , NITTO ELECTRIC INDUSTRIAL CO., LTD.
发明人： Oka, Hiroyuki , Akasaka, Shinichi , Ohara, Shuichi , Hattori, Shintaroo , Mori, Yasuki , Narahara, Toshikazu , Matsumoto, Hiroshi
IPC分类号： B41M05/26
CPC分类号： B41M5/395 , Y10S428/913 , Y10S428/914 , Y10T428/24802 , Y10T428/24901 , Y10T428/24975 , Y10T428/265 , Y10T428/266 , Y10T428/31725 , Y10T428/31732 , Y10T428/31736 , Y10T428/31739 , Y10T428/3175 , Y10T428/31779
摘要： A thermal transfer recording sheet comprising a substrate and ink layer formed thereon containing one or more sublimable dyes and a high-molecular-weight polyamide obtained from dimer acids as a binder is good in adherence of the ink layer to the substrate, and thermal transfer properties to give clear color hard copies.

3. 发明公开

EP0191498A2 Thermal transfer sheet 失效
标题翻译：传热片。
公开(公告)号：EP0191498A2
公开(公告)日：1986-08-20
申请号：EP86101902.4
申请日：1986-02-14
申请人： HITACHI, LTD. , NITTO DENKO CORPORATION
发明人： Oka, Hiroyuki , Akasaka, Shinichi , Ohara, Shuichi , Hattori, Shintaroo , Mori, Yasuki , Narahara, Toshikazu , Matsumoto, Hiroshi
IPC分类号： B41M5/26
CPC分类号： B41M5/395 , Y10S428/913 , Y10S428/914 , Y10T428/24802 , Y10T428/24901 , Y10T428/24975 , Y10T428/265 , Y10T428/266 , Y10T428/31725 , Y10T428/31732 , Y10T428/31736 , Y10T428/31739 , Y10T428/3175 , Y10T428/31779
摘要： A thermal transfer recording sheet comprising a substrate and ink layer formed thereon containing one or more sublimable dyes and a high-molecular-weight polyamide obtained from dimer acids as a binder is good in adherence of the ink layer to the substrate, and thermal transfer properties to give clear color hard copies.

4. 发明授权

EP0191498B1 Thermal transfer sheet 失效
公开(公告)号：EP0191498B1
公开(公告)日：1991-04-17
申请号：EP86101902.4
申请日：1986-02-14
申请人： HITACHI, LTD. , NITTO DENKO CORPORATION
发明人： Oka, Hiroyuki , Akasaka, Shinichi , Ohara, Shuichi , Hattori, Shintaroo , Mori, Yasuki , Narahara, Toshikazu , Matsumoto, Hiroshi
IPC分类号： B41M5/26
CPC分类号： B41M5/395 , Y10S428/913 , Y10S428/914 , Y10T428/24802 , Y10T428/24901 , Y10T428/24975 , Y10T428/265 , Y10T428/266 , Y10T428/31725 , Y10T428/31732 , Y10T428/31736 , Y10T428/31739 , Y10T428/3175 , Y10T428/31779

5. 发明授权

EP0708390B1 Supporting method and system for process operation 失效
标题翻译：用于操作植物支撑的方法和设备
公开(公告)号：EP0708390B1
公开(公告)日：1999-10-13
申请号：EP95118768.1
申请日：1990-03-13
申请人： Hitachi, Ltd.
发明人： Baba, Kenji , Embutsu, Ichiro , Watanabe, Shoji , Yahagi, Hayao , Maruhashi, Fumio c/o Hitachi Intern. Izumigamori , Matsuzaki, Harumi , Matsumoto, Hiroshi , Nogita, Shunsuke , Yoda, Mikio , Hara, Naoki
IPC分类号： G05B13/02
CPC分类号： G05B13/027 , C02F1/008 , G05B13/0285 , Y10S706/903 , Y10S706/906
摘要： This invention discloses a method and a system of making a neuron network model learn the typical past process control results and utilizing this model for the supporting of an operation of a process. The neuron network is given a typical pattern of a plurality of input variables at different points in time as input signals, and is taught corresponding control variables as teaching signals, and untaught input patterns are given to this intelligent neuron network model to have it determine corresponding control variables. A plurality of patterns at predetermined time intervals are preferably used at once as patterns to be taught.

6. 发明公开

EP0708390A3 Supporting method and system for process operation 失效
标题翻译：用于操作植物支撑的方法和设备
公开(公告)号：EP0708390A3
公开(公告)日：1997-04-02
申请号：EP95118768.1
申请日：1990-03-13
申请人： HITACHI, LTD.
发明人： Baba, Kenji , Enbutsu, Ichiro , Watanabe, Shoji , Yahagi, Hayao , Maruhashi, Fumio , Matsuzaki, Harumi , Matsumoto, Hiroshi , Nogita, Shunsuke , Yoda, Mikio , Hara, Naoki
IPC分类号： G05B13/02
CPC分类号： G05B13/027 , C02F1/008 , G05B13/0285 , Y10S706/903 , Y10S706/906
摘要： A method for extracting as knowledge causal relationships between input variables and an output variable of a neural circuit model, said neural circuit model being of a hierarchical structure constructed of an input layer, at least one hidden layer and an output layer and having performed learning a limited number of times by determining weight factors between mutually-connected neuron element models in different layers of the input layer, hidden layer and output layer, wherein with respect to plural routes extending from a neuron element model, corresponding to a particular input variable, of the input layer to a neuron element model, corresponding to a particular output variable, of the output layer by way of the individual neuron element models of the hidden layer, a product of the weight factors for each of the routes is determined, and the products for the plural routes are summed, whereby the sum is employed as a measure for the determination of the causal relationship between the particular input variable and the particular output variable.

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