Innovative Algorithms for Running a Web-based Pattern Recognition Search System for a Component Patterns Database

Abstract

The real-time system uses a recurrent neural network (RNN) with associative memory for training and recognition. This study attempts to use associative memory to apply pattern recognition (PR) technology to the real-time pattern recognition of engineering components in a web-based recognition system with a Client-Server network structure. Remote engineers… (More)

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Cite this paper

@inproceedings{Hsiao2004InnovativeAF, title={Innovative Algorithms for Running a Web-based Pattern Recognition Search System for a Component Patterns Database}, author={Sung-Jung Hsiao and Kuo-Chin Fan and Wen-Tsai Sung and Shih-Ching Ou}, year={2004} }