• 대한수학회지
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• 제37권5호
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• pp.687-705
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• 2000

The main purpose of this paper is to study differentiable one-parameter groups and cosine families of operators acting on white noise functions and their associated infinitesimal generators. In particular, we prove the heredity of differentiable one-parameter group and cosine family of operators under the second quantization of the Cuchy problems for the first and second or der differential equations.

• Journal of Oral Medicine and Pain
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• 제18권1호
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• pp.31-43
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• 1993

To evaluate the correlationship between sign/symptoms of craniomandibular disorder(CMD) and possible contributing occlusal factors, the author analyzed craniomandibular index(CMI), clinical dysfunction index(CDI) and occlusal index(Oi) obtained from 88 subjects (32 males, 56 females, mean age 28.7) consisted of 49 CMD patients(15 males, 34 females, mean age 28.7) and 39 non-CMD patients (17 males, 22 females, mean age 24.5). The obtained results were as follows : 1. There was very high significant correlation bebween CMI and CDI in total subjects (r=0.83, p<0.01) 2. There was very low correlation between working-side interference and TMJ noise which was observed as a statistically significant value(p<0.05). And also there ws very low correlation between nonworking side interference and muscle tenderness, CDI, dysfunction index(DI), palpation index(PI) which were observed as statistically significant value (p<0.01) 3. There was very low correlation between as ymmetry of tetruded contact position(RCP)-intercuspal position(ICP) slide and muscle tenderness, TMJ tenderness, TMJ noise, CMI, DI, PI which were observed as statistically significant values(p<0.05) 4. In general there was low correlation between Oi and muscle tenderness, CDI, CMI, DI, PI which were observed as statistically significant values (p,0.05). But Oi had a relatively higher correlation with muscle tenderness, PI than whith CDI, DI.

• 한국정보처리학회논문지
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• 제4권2호
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• pp.456-464
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• 1997

본 논문에서는 클래스내부와 클래스간의를 확정하게 제어할 수 있는 랜덤 프로세스 모델을 제어하는 프리세스 내부의 파라메다들을 변화시키며, 프로세스간의 통계적인 차이와 랜덤 잡음을 변화시켜 학습을 위한 패턴들을 생성한다. 이 랜덤 프로세스 모델에서 생성된 패턴들을 이용하여 역전파알고리즘으로 학습된 다단 신경망의 성능 성능을 평가한다. 평가 실험결과는 패턴 분류문제에서 일반화된 통계적인 거리가 분류문제의 난이도에 대한 좋은 예측기가 되는 것을 보여 준다. 또한 본 논문에서는 다단신경망의 성능과 베이스패턴분류기의 성능을 비교하기 위하여 베이스분류기의 이론적인 성능분석과 모의실험을 통한 평가를 하였다. 다단신경망의 분류성능이 이론적인 성능과 실헝치와 매우 근사하며 그 두 성능 중간에 위치함을 발견하였다.