Using the RNN to develop a Web-based pattern recognition system for pattern search of component database

Sung Jung Hsiao, Shih Ching Ou, Kuo Chin Fan, Wen Tsai Sung

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

This study attempts to apply pattern recognition (PR) technologies with associative memory to real-time pattern recognition of engineering components using a client-server network structure in a Web-based recognition system. A remote engineer is able to draw directly the shape of engineering components using the browser, and the recognition system will search for the component database of a company using the Internet. Component patterns are stored in the database system. Their properties and specifications are also attached to the data field of each component pattern except that of engineering components. In our approach, the recognition system adopts parallel computing, and will raise the recognition rate. Our recognition system is a client-server network structure using the Internet. The system uses a recurrent neural network (RNN) with associative memory to perform training and recognition. The last phase utilizes the technology of database matching and solves the problem of spurious state. Our system will be used at the Yang-Fen Automation Electrical Engineering Company.

原文???core.languages.en_GB???
主出版物標題Proceedings - 1st International Symposium on Cyber Worlds, CW 2002
編輯Shietung Peng, Shuichi Yukita, Vladimir V. Savchenko
發行者Institute of Electrical and Electronics Engineers Inc.
頁面146-153
頁數8
ISBN(電子)0769518621, 9780769518626
DOIs
出版狀態已出版 - 2002
事件1st International Symposium on Cyber Worlds, CW 2002 - Tokyo, Japan
持續時間: 6 11月 20028 11月 2002

出版系列

名字Proceedings - 1st International Symposium on Cyber Worlds, CW 2002

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???event.eventtypes.event.conference???1st International Symposium on Cyber Worlds, CW 2002
國家/地區Japan
城市Tokyo
期間6/11/028/11/02

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