Web-based distributed pattern recognition system

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 (...

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Bibliographic Details
Main Authors: Sung-Jung Hsiao, Wen-Tsai Sung, Kuo-Chin Fan
Format: Conference Proceeding
Language:English
Subjects:
Associative memory
Automation
Character recognition
Computer science
Internet
Neural networks
Pattern recognition
Real time systems
Recurrent neural networks
Online Access:Request full text
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Summary: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.
ISSN:1093-9547
DOI:10.1109/IV.2002.1028802