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1.发明公开An occupant condition determining apparatus 失效Vorrichtung zur Ermittlung des Zustandes eines Raumbenutzers。
公开(公告)号：EP0589448A1
公开(公告)日：1994-03-30
申请号：EP93115345.6
申请日：1993-09-23
CPC分类号： G05D23/1917 , F24F11/30 , F24F2110/10 , F24F2120/12
摘要： The apparatus of the present invention for determining existential conditions of objects on a certain detecting region, includes: a temperature distribution detecting section for obtaining a thermal image including a plurality of elements each having temperature data by detecting the temperature distribution on the detecting region; an element classifying section for classifying the plurality of elements in the thermal image into at least two groups, all elements belonging to one of the groups being in a certain temperature range, the temperature range of the one group being distinct from a temperature range of another one of the groups; a group selecting section for selecting at least one group of a relatively higher temperature range in the thermal image from the at least two groups; an element selecting section for selecting, among elements included in the selected group, elements having temperature data indicative of local temperature peaks in the thermal image; and an output section for outputting the number of the selected elements by the element selecting means as the number of objects on the detecting region.
摘要翻译： 本发明的用于确定特定检测区域上的物体的存在条件的装置包括：温度分布检测部分，用于通过检测检测区域上的温度分布来获得包括具有温度数据的多个元件的热图像; 用于将热图像中的多个元素分类为至少两组的元素分类部分，属于一个组中的所有元素处于一定温度范围，一组的温度范围不同于另一组的温度范围 其中一组; 组选择部，用于从所述至少两个组中选择所述热图像中的相对较高温度范围的至少一组; 元素选择部分，用于在所选择的组中包括的元素中选择具有指示热图像中的局部温度峰值的温度数据的元素; 以及输出部，用于通过元素选择装置输出所选择的元素的数量作为检测区域上的对象数。
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公开(公告)号：EP0451742A2
公开(公告)日：1991-10-16
申请号：EP91105484.9
申请日：1991-04-06
发明人： Hayashi, Isao , Wakami, Noboru , Nomura, Hiroyoshi
CPC分类号： G06N7/046
摘要： A fuzzy inference device (K1) for determining an inference operational quantity in accordance with inference rules each constituted by an antecedent and a consequent, comprising: an inference rule division determiner (11) which receives data of input variables and output variables so as to determine the number of the inference rules; an antecedent neural element (12) for obtaining a membership value corresponding to an antecedent of a specific inference rule from the divided data of the input variables and the output variables; a situational change processor (13) for adaptively determining an inference quantity of a consequent of each inference rule in the case of change of an initial state or inference situations; an inference operational quantity determiner (14) which receives outputs from the antecedent neural element (12) and the situational change processor and performs (13) fuzzy inference in accordance with the inference rules so as to determine the inference operational quantity; and an evaluator (15) for evaluating, on the basis of an evaluation reference, the inference operational quantity outputted by the inference operational quantity determiner (14).
摘要翻译： 一种模糊推理装置，用于根据由先行和后续构成的推理规则来确定推理操作量，包括：推理规则分割确定器，其接收输入变量和输出变量的数据，以便确定推理规则的数量 ; 用于从输入变量和输出变量的分割数据获得对应于特定推理规则的前提的隶属值的先行神经元; 一种情境变化处理器，用于在初始状态或推断情况发生变化的情况下自适应地确定每个推理规则的后果的推理量; 推理操作量确定器，其接收来自先前神经元和情境变化处理器的输出，并根据推理规则执行模糊推理，以确定推理操作量; 以及评估器，用于基于评估参考来评估由推理操作量确定器输出的推理操作量。
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公开(公告)号：EP0474104A3
公开(公告)日：1993-02-24
申请号：EP91114423.6
申请日：1991-08-28
发明人： Nomura, Hiroyoshi , Hayashi, Isao , Wakami, Noboru
CPC分类号： G06N7/023 , Y10S706/90
摘要： The fuzzy inference apparatus is provided to effect the tuning operation of the fuzzy inference with the use of the descent steps from the input/output data to be obtained from the specialists, the inputs of the users, and to automatically produce the desired fuzzy inference rules not by the trial and error, whereby the optimum inference rule can be obtained by the descent steps, and the specialists' knowledge and know-how can be easily amounted on the appliances as the inference rules.
摘要翻译： 提供模糊推理装置以利用从专家，用户的输入获得的输入/输出数据中的下降步骤来实现模糊推理的调谐操作，并且自动产生期望的模糊推断规则 而不是通过试验和错误，从而可以通过下降步骤获得最佳推断规则，并且可以将专家的知识和专有技术作为推理规则容易地计算在器具上。
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公开(公告)号：EP0474104B1
公开(公告)日：1999-09-01
申请号：EP91114423.6
申请日：1991-08-28
发明人： Nomura, Hiroyoshi , Hayashi, Isao , Wakami, Noboru
CPC分类号： G06N7/023 , Y10S706/90
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公开(公告)号：EP0451742B1
公开(公告)日：1996-12-18
申请号：EP91105484.9
申请日：1991-04-06
发明人： Hayashi, Isao , Wakami, Noboru , Nomura, Hiroyoshi
CPC分类号： G06N7/046
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公开(公告)号：EP0390563A3
公开(公告)日：1992-12-02
申请号：EP90303368.6
申请日：1990-03-29
CPC分类号： G06N5/048 , G06N7/04 , Y10S706/90
摘要： In a method (claim 1), an inference is conducted by use of fuzzy knowledge and knowledge of experts can be directly written in inference rules. In a method (claims 2 to 4), it is possible to use ambiguous language expressions of the user and the user can freely describe flexible knowledge, although ambiguous, in a knowledge base. In a method (claims 5 to 7), the user clearly specifies execution priority orders or conviction degrees of inference rules such that even when an antecedent contains a confirmative or determinant action, a contention between rules is prevented to execute an optimal inference rule in any situation. In a method (claims 8 to 15), an intermediate result of a fuzzy inference is passed in a form of a real number or a fuzzy label to the next inference to achieve a fuzzy multi-stage inference, thereby conducting an inference more similar to the human inference as compared with a single-stage inference. In a method (claims 16 to 18), a multi-stage inference conducting a backtrack operation based on fuzzy knowledge is implemented to easily reflect user's ambiguous knowledge onto inference rules. In a method (claims 19 to 26), a new infernece method associated with a best value retrieval function is provided wherein, in contrast to the conventional method in which a fuzzy inference and a binary logic inference are continuously achieved from an upper-level retrieval or search point to a lower-level retrieval point in a one-directional manner, the best value retrieval function is employed, thereby easily obtaining an optimal solution. In a method (claims 27 and 28), the user can describe inference rules without perceiving any difficulty of a description of the termination instruction to terminate an inference at a satisfactory inference stage, thereby configuring a system which matches with the human fuzziness and which can be easily operated by the user.
摘要翻译： 在一种方法（权利要求1）中，通过使用模糊知识进行推理，并且可以将专家知识直接写入推理规则中。 在方法（权利要求2至4）中，可以使用用户的模糊语言表达，并且用户可以自由地在知识库中描述灵活知识，尽管模棱两可。 在方法（权利要求5至7）中，用户明确指定执行优先顺序或推理规则的定罪度，使得即使当前提包含确认或决定性行为时，也防止规则间的争用以执行任何最优推理规则 情况。 在一种方法（权利要求8至15）中，将模糊推理的中间结果以实数或模糊标签的形式传递给下一推理以实现模糊多级推断，由此进行更类似于 与单阶段推断相比，人类的推论。 在一种方法（权利要求16至18）中，实现了基于模糊知识进行回溯操作的多级推理，以便将用户的模糊知识容易地反映到推理规则中。 在一种方法（权利要求19至26）中，提供了与最佳值检索功能相关联的新的推理方法，其中与传统的方法相比，其中从上级检索连续获得模糊推理和二进制逻辑推理 或者以单向方式将搜索点指向较低级检索点，则采用最佳值检索功能，从而容易地获得最优解。 在方法（权利要求27和28）中，用户可以描述推理规则，而不会感到终止指令的描述的任何困难，以便在令人满意的推理阶段终止推理，从而配置与人类模糊相匹配的系统， 易于用户操作。
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公开(公告)号：EP0474104A2
公开(公告)日：1992-03-11
申请号：EP91114423.6
申请日：1991-08-28
发明人： Nomura, Hiroyoshi , Hayashi, Isao , Wakami, Noboru
CPC分类号： G06N7/023 , Y10S706/90
摘要： The fuzzy inference apparatus is provided to effect the tuning operation of the fuzzy inference with the use of the descent steps from the input/output data to be obtained from the specialists, the inputs of the users, and to automatically produce the desired fuzzy inference rules not by the trial and error, whereby the optimum inference rule can be obtained by the descent steps, and the specialists' knowledge and know-how can be easily amounted on the appliances as the inference rules.
摘要翻译： 提供模糊推理装置以通过使用从专家，用户的输入获得的输入/输出数据的下降步骤来实现模糊推理的调整操作，并且自动产生期望的模糊推理规则 不是通过尝试和错误，从而可以通过下降步骤获得最佳推理规则，专家的知识和专业知识可以很容易地归因于设备作为推理规则。
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公开(公告)号：EP0390563A2
公开(公告)日：1990-10-03
申请号：EP90303368.6
申请日：1990-03-29
CPC分类号： G06N5/048 , G06N7/04 , Y10S706/90
摘要： In a method (claim 1), an inference is conducted by use of fuzzy knowledge and knowledge of experts can be directly written in inference rules. In a method (claims 2 to 4), it is possible to use ambiguous language expressions of the user and the user can freely describe flexible knowledge, although ambiguous, in a knowledge base. In a method (claims 5 to 7), the user clearly specifies execution priority orders or conviction degrees of inference rules such that even when an antecedent contains a confirmative or determinant action, a contention between rules is prevented to execute an optimal inference rule in any situation. In a method (claims 8 to 15), an intermediate result of a fuzzy inference is passed in a form of a real number or a fuzzy label to the next inference to achieve a fuzzy multi-stage inference, thereby conducting an inference more similar to the human inference as compared with a single-stage inference. In a method (claims 16 to 18), a multi-stage inference conducting a backtrack operation based on fuzzy knowledge is implemented to easily reflect user's ambiguous knowledge onto inference rules. In a method (claims 19 to 26), a new infernece method associated with a best value retrieval function is provided wherein, in contrast to the conventional method in which a fuzzy inference and a binary logic inference are continuously achieved from an upper-level retrieval or search point to a lower-level retrieval point in a one-directional manner, the best value retrieval function is employed, thereby easily obtaining an optimal solution. In a method (claims 27 and 28), the user can describe inference rules without perceiving any difficulty of a description of the termination instruction to terminate an inference at a satisfactory inference stage, thereby configuring a system which matches with the human fuzziness and which can be easily operated by the user.
摘要翻译： 在一种方法（权利要求1）中，通过使用模糊知识进行推理，专家知识可以直接写入推理规则。 在方法（权利要求2至4）中，可以使用用户的模糊语言表达，并且用户可以在知识库中自由地描述灵活知识，尽管不明确。 在方法（权利要求5至7）中，用户清楚地指定推理规则的执行优先级顺序或定罪度，使得即使前提包含确认或决定性动作，也阻止规则之间的争用执行任何最优推理规则 情况。 在方法（权利要求8至15）中，将模糊推理的中间结果以实数或模糊标签的形式传递到下一个推断，以实现模糊多级推理，由此进行推理更类似于 人类推论与单阶段推论相比。 在方法（权利要求16至18）中，实现了基于模糊知识进行回溯操作的多阶段推理，以容易地将用户的模糊知识反映到推理规则上。 在方法（权利要求19至26）中，提供了与最佳值检索功能相关联的新的推断方法，其中与常规方法相反，其中从上级检索连续地实现模糊推理和二进制逻辑推理 或以单向方式搜索到较低级别的检索点，则采用最佳值检索功能，从而容易地获得最佳解。 在方法（权利要求27和28）中，用户可以描述推理规则，而不会感觉到终止指令的描述的任何困难，以在令人满意的推理阶段终止推断，从而配置与人的模糊性相匹配的系统， 可以方便用户操作。
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