연구동향 분석

예보인자의 효과적 추출을 위한 다항식 방사형 기저 함수 신경회로망 기반 초단기 강수예측 분류기의 설계

김현명(Hyun-Myung Kim) 오성권(Sung-Kwun Oh) 김현기(Hyun-Ki Kim) 2015년

논문상세정보
인용/피인용
' 예보인자의 효과적 추출을 위한 다항식 방사형 기저 함수 신경회로망 기반 초단기 강수예측 분류기의 설계' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 전기공학, 전자공학
  • de(differentialevolution)
  • fcm(fuzzyc-meansmethod)
  • precipitation forecasting model and classifier
  • pso (particle swarm optimization)
  • rbfnns(radial basis function neural networks)
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,431 0

0.0%

' 예보인자의 효과적 추출을 위한 다항식 방사형 기저 함수 신경회로망 기반 초단기 강수예측 분류기의 설계' 의 참고문헌

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