@inproceedings{b4c7d1ca1ffa44a69e4d2903547070ed,
title = "Using a real-time web-based pattern recognition system to search for component patterns database",
abstract = "Faraway engineers are able to sketch direct the shape of engineering components by the browser, and the recognition system will proceed with search for the component database of company by the Internet. In this paper, component patterns are stored in the database system. Component patterns with the approach of database system will be able to improve the capacity of recognition system effectively. In our approach, the recognition system adopts distributed compute, and it will raise the recognition rate of system. The system uses a recurrent neural network (RNN) with associative memory to perform the action of training and recognition. The final phase joins the technology of database match in process of the recognition except distributed compute, and it will solve the problem of spurious state. In this paper, our system will be carried out in the Yang-Fen Automation Electrical Engineering Company. The plan of experiment has gone through four months, and their engineers are also used to take advantage of the way of Web-Based pattern recognition.",
keywords = "Component database, Engineering components, Pattern recognition, RNN, Web-based",
author = "Hsiao, {Sung Jung} and Fan, {Kuo Chin} and Sung, {Wen Tsai} and Ou, {Shih Ching}",
year = "2002",
doi = "10.1007/3-540-36087-5_86",
language = "???core.languages.en_GB???",
isbn = "3540000283",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "739--746",
editor = "Hassan Shafazand and Tjoa, {A. Min} and Hassan Shafazand",
booktitle = "EurAsia-ICT 2002",
note = "1st EurAsian Conference on Advances in Information and Communication Technology, EurAsia-ICT 2002 ; Conference date: 29-10-2002 Through 31-10-2002",
}