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公开(公告)号：US4087622A
公开(公告)日：1978-05-02
申请号：US589619
申请日：1975-06-23
申请人： Michihiro Nakamura , Yuzuru Fujiwara , Teruo Yasui
发明人： Michihiro Nakamura , Yuzuru Fujiwara , Teruo Yasui
CPC分类号： B01J23/58 , B01J23/52 , C07C67/055 , B01J35/008 , B01J35/1014 , B01J35/1019 , B01J35/1042 , B01J35/1047 , B01J35/108
摘要： Vinyl acetate is produced through reaction of ethylene, oxygen and acetic acid in vapor phase employing a catalyst which comprises 0.3 to 3.0 weight % of palladium metal, 0.0157 to 1.8 weight % of gold metal and 1 to 30 weight % of an alkali metal acetate, all based on the weight of the carrier or catalyst support therefor. These components are supported on said carrier or support under such conditions that (1) at least 90% by weight of each of the supported palladium and gold metals is distributed proximate the external surfaces of the carrier particles, extending to depths no greater than about 30% of the radius of each particle as measured from the external surface of each particle to the center of said particle, and (2) the proportion of gold to palladium ranges from about 5 to 60% by weight, based upon the total weight of the gold and palladium.
摘要翻译： 乙酸乙烯酯是通过乙烯，氧气和乙酸的气相反应制备的，该催化剂包含0.3〜3.0重量％的金属钯，0.0157〜1.8重量％的金属金属和1〜30重量％的碱金属乙酸盐， 所有这些都是基于载体或催化剂载体的重量。 这些组分在所述载体或载体上被支撑在以下条件下：（1）至少90重量％的负载的钯金属和金属金属分布在载体颗粒的外表面附近，延伸到不大于约30的深度 从每个颗粒的外表面到所述颗粒的中心测量的每个颗粒的半径的百分比，以及（2）金对钯的比例为约5-60重量％，基于 金和钯。
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2.发明申请Learning/thinking machine and learning/thinking method based on structured knowledge, computer system, and information generation method 审中-公开基于结构化知识，计算机系统和信息生成方法的学习/思维机器和学习/思维方法公开(公告)号：US20060217818A1
公开(公告)日：2006-09-28
申请号：US10531432
申请日：2003-10-17
申请人： Yuzuru Fujiwara
发明人： Yuzuru Fujiwara
IPC分类号： G05B11/01
摘要： The present invention is to provide a learning machine capable of expressing/accumulating concept and semantic relation by understanding semantic relation of information as a relation between concepts after characteristics, semantic relation and structure of information and the like have been analyzed. The present invention is intended to realize a thinking machine in which information is inclusively collected and stored as knowledge structured based on the semantic relation of the collected information, information is generated by predetermined inference so as to have a new semantic relation in response to an inquiry or request and which can decide an optimal solution to an inquiry and the like by evaluating/deciding new generated information.
摘要翻译： 本发明提供一种能够通过理解信息的语义关系来表达/积累概念和语义关系的学习机器，作为概念之间的关系，已经分析了特征，语义关系和信息结构等之后的概念和语义关系。 本发明旨在实现一种思维机器，其中信息被包含收集和存储为基于收集的信息的语义关系的知识结构，通过预定推理生成信息，以便响应于查询而具有新的语义关系 或请求，并且可以通过评估/决定新生成的信息来决定查询的最佳解决方案。
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