Web-based distributed pattern recognition system

Sung Jung Hsiao, Wen Tsai Sung, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)


This study attempts to apply the principle of neural networks and pattern recognition (PR) technologies to real-time recognition by client-server network structure into a web-based recognizing system. In this paper, we recommend a Web-Based PR technology, which is improved recurrent neural network (RNN) from possessing feedback and non-linear activation function with its input, be taken out threshold. The purpose of this article is. to construct a Client-Server network structure for PR system with associative memory. The Server-end is built a databases management system for storage sample patterns. In proceed with training, the user can real-time assign any pattern, which is a record in the Server-end databases. In deal with retrieve task, we propose a novel PR method via databases matching, it can efficient solve spurious states problem from RNN in the WBPR system. On the other hand, taking advantage of Database Matching is to overcome the capacity restrictions on RNN. In order to clarify and corroborate the above Web-Based PR technology, thus a simulation experiment will be presented and their algorithms are also discussed.

主出版物標題Proceedings - 6th International Conference on Information Visualisation, IV 2002
發行者Institute of Electrical and Electronics Engineers Inc.
出版狀態已出版 - 2002
事件6th International Conference on Information Visualisation, IV 2002 - London, United Kingdom
持續時間: 10 7月 200212 7月 2002


名字Proceedings of the International Conference on Information Visualisation


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國家/地區United Kingdom


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