@inproceedings{cb3893b518534051b2958efffcc03dcb,
title = "Using the RNN to develop a Web-based pattern recognition system for pattern search of component database",
abstract = "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.",
keywords = "Pattern Recognition, RNN, Web-Based, Web-Based, component database, engineering components",
author = "Hsiao, {Sung Jung} and Ou, {Shih Ching} and Fan, {Kuo Chin} and Sung, {Wen Tsai}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; 1st International Symposium on Cyber Worlds, CW 2002 ; Conference date: 06-11-2002 Through 08-11-2002",
year = "2002",
doi = "10.1109/CW.2002.1180873",
language = "???core.languages.en_GB???",
series = "Proceedings - 1st International Symposium on Cyber Worlds, CW 2002",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "146--153",
editor = "Shietung Peng and Shuichi Yukita and Savchenko, {Vladimir V.}",
booktitle = "Proceedings - 1st International Symposium on Cyber Worlds, CW 2002",
}