Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 2003.09a
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- Pages.315-317
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- 2003
Recognition of the Korean alphabet Using Neural Oscillator Phase model Synchronization
- Kwon, Yong-Bum (Dept. of Electrical Eng Dong-A Univ) ;
- Lee, Jun-Tak (Dept. of Electrical Eng Dong-A Univ)
- Published : 2003.09.01
Abstract
Neural oscillator is applied in oscillatory systems (Analysis of image information, Voice recognition. Etc...). If we apply established EBPA(Error back Propagation Algorithm) to oscillatory system, we are difficult to presume complicated input's patterns. Therefore, it requires more data at training, and approximation of convergent speed is difficult. In this paper, I studied the neural oscillator as synchronized states with appropriate phase relation between neurons and recognized the Korean alphabet using Neural Oscillator Phase model Synchronization.
Keywords