- 신경회로망과 벡터양자화에 의한 사후확률과 확률 밀도함수 추정 및 검증
- ㆍ 저자명
- 고희석,김현덕,이광석
- ㆍ 간행물명
- 電氣學會論文誌
- ㆍ 권/호정보
- 1996년|45권 2호|pp.325-328 (4 pages)
- ㆍ 발행정보
- 대한전기학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
In this paper, we proposed an estimation method of a posterior probability and PDF(Probability density function) using a feed forward neural network and code books of VQ(vector quantization). In this study, We estimates a posterior probability and probability density function, which compose a new parameter with well-known Mel cepstrum and verificate the performance for the five vowels taking from syllables by NN(neural network) and PNN(probabilistic neural network). In case of new parameter, showed the best result by probabilistic neural network and recognition rates are average 83.02%.