신경회로망을 이용한 온라인 문자 인식 시스템의 자소 분리에 관한 연구

A Phoneme Separation and Learning Using of Neural Network in the On-Line Character Recognition System

In this paper, a Hangul recognition system using of Kohonen Network in the phoneme separation and learning is proposed. A Hangul consists of phoneme that are consists of strokes. The phoneme recognition and separation are very important in the recognition of character. So, the phonemes which mismatching has been happened are correctly separated through the learning of neural networks. also, learning rate($\alpha$) adjusted according to error, in order to solved that its decreased the number of iteration and the problem of local minimum, adaptively.