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1. 发明公开

EP0521643A1 Method of automated learning, an apparatus therefor, and a system incorporating such an apparatus 失效
标题翻译： Methode und Apparatfürautomatisiertes Lernen und ein System，das einen solchen Apparatenthält。
公开(公告)号：EP0521643A1
公开(公告)日：1993-01-07
申请号：EP92305720.2
申请日：1992-06-22
申请人： HITACHI, LTD.
发明人： Enbutsu, Ichiro, Ishinazaka Apt.554 , Baba, Kenzi , Hara, Naoki , Yoda, Mikio , Watanabe, Shoji , Yahagi, Hayao
IPC分类号： G05B13/02 , G06F15/18 , G06F9/44
CPC分类号： G06N5/025 , G05B13/0285 , G06N3/0436 , Y10S706/90
摘要： In order to speed up, and simplify, automated learning of rules by a neural network making use of fuzzy logic, data (120) from a system is analyzed by a teaching data creation means (140). This groups the data into clusters and then selects a representative data item from each group for subsequent analysis. The selected data items are passed to a rule extraction means (180). This investigates relationships between the data items, to derive rules, but eliminates rules which have only an insignificant effect on the system. The result are candidate rules which are stored in a first rule base (200). The candidate rules are then compared with rules in a second rule base (240) to check for duplication and/or contradiction. Only those rules which are not duplicated and not contradictory are stored in the second rule base (240). Hence, when fuzzy inference is used to control the system on the basis of rules in the second rule base (240), only valid rules which provide a significant effect on the system are used.
摘要翻译：为了加速和简化由使用模糊逻辑的神经网络自动学习规则，由教学数据创建装置（140）分析来自系统的数据（120）。这将数据分组成簇，然后从每个组中选择一个代表性的数据项进行后续分析。所选择的数据项被传递到规则提取装置（180）。这调查数据项之间的关系，导出规则，但消除对系统影响不大的规则。结果是存储在第一规则库（200）中的候选规则。然后将候选规则与第二规则库（240）中的规则进行比较，以检查重复和/或矛盾。只有那些不重复而不矛盾的规则被存储在第二规则库（240）中。因此，当使用模糊推理来基于第二规则库（240）中的规则来控制系统时，仅使用对系统产生重大影响的有效规则。

2. 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。

3. 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.

4. 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.

5. 发明授权

EP0521643B1 Method of automated learning, an apparatus therefor, and a system incorporating such an apparatus 失效
标题翻译：用于自动学习和包括这样一个设备的系统的方法和装置
公开(公告)号：EP0521643B1
公开(公告)日：1997-03-05
申请号：EP92305720.2
申请日：1992-06-22
申请人： HITACHI, LTD.
发明人： Enbutsu, Ichiro, Ishinazaka Apt.554 , Baba, Kenzi , Hara, Naoki , Yoda, Mikio , Watanabe, Shoji , Yahagi, Hayao
IPC分类号： G05B13/02 , G06F15/18 , G06F9/44
CPC分类号： G06N5/025 , G05B13/0285 , G06N3/0436 , Y10S706/90

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