한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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- Pages.491-494
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- 2004
신경 진동자를 이용한 한글 문자의 인식 속도의 개선에 관한 연구
A study for improvement of Recognition velocity of Korean Character using Neural Oscillator
- Kwon, Yong-Bum (Dept. of Electrical Eng. Dong-A University) ;
- Lee, Joon-Tark (Dept. of Electrical Eng. Dong-A University)
- 발행 : 2004.04.01
초록
Neural Oscillator can be applied to oscillatory systems such as the image recognition, the voice recognition, estimate of the weather fluctuation and analysis of geological fluctuation etc in nature and principally, it is used often to pattern recoglition of image information. Conventional BPL(Back-Propagation Learning) and MLNN(Multi Layer Neural Network) are not proper for oscillatory systems because these algorithm complicate Learning structure, have tedious procedures and sluggish convergence problem. However, these problems can be easily solved by using a synchrony characteristic of neural oscillator with PLL(phase-Locked Loop) function and by using a simple Hebbian learning rule. And also, Recognition velocity of Korean Character can be improved by using a Neural Oscillator's learning accelerator factor η
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