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dc.contributor.authorHsiao, SJen_US
dc.contributor.authorSung, WTen_US
dc.contributor.authorOu, SCen_US
dc.date.accessioned2014-12-08T15:39:37Z-
dc.date.available2014-12-08T15:39:37Z-
dc.date.issued2004-02-01en_US
dc.identifier.issn0166-3615en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.compind.2003.06.002en_US
dc.identifier.urihttp://hdl.handle.net/11536/27051-
dc.description.abstractThe real-time system uses a recurrent neural network (RNN) with associative memory for training and recognition. This study attempts to use associative memory to apply pattern recognition (PR) technology to the real-time pattern recognition of engineering components in a web-based recognition system with a client-server network structure. Remote engineers can draw the shape of the engineering components using the browser, and the recognition system then searches the component database via the Internet. Component patterns are stored in the database system considered here. Moreover, the data fields of each component pattern contain the properties and specifications of that pattern, except in the case of engineering components. The database system approach significantly improves recognition system capacity. The recognition system examined here employs parallel computing, which increases system recognition rate. The recognition system used in this work is an Internet based client-server network structure. The final phase of the system recognition applies database matching technology to processing recognition, and can solve the problem of spurious states. The system considered here is implemented on the Yang-Fen Automation Electrical Engineering Company as a case study. The experiment is continued for 4 months, and engineers are also used to operating the web-based pattern recognition system. Therefore, the cooperative plan described above is analyzed and discussed here. Finally, these papers propose the tradition methods compare with the innovative methods. (C) 2003 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectreal-timeen_US
dc.subjectweb-baseden_US
dc.subjectpattern recognitionen_US
dc.subjectengineering componentsen_US
dc.subjectcomponent databaseen_US
dc.titleWeb-based search system of pattern recognition for the pattern of industrial component by an innovative technologyen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.compind.2003.06.002en_US
dc.identifier.journalCOMPUTERS IN INDUSTRYen_US
dc.citation.volume53en_US
dc.citation.issue2en_US
dc.citation.spage179en_US
dc.citation.epage192en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000188979400005-
dc.citation.woscount10-
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