연구동향 분석

AWS자료 기반 SVR과 뉴로-퍼지 알고리즘 구현 호우주의보 가이던스 연구

임승준(林陞俊) 오성권(Sung-Kwun Oh) 김용혁(Yong-Hyuk Kim) 이용희(Yong-Hee Lee) 2014년

논문상세정보
인용/피인용
' AWS자료 기반 SVR과 뉴로-퍼지 알고리즘 구현 호우주의보 가이던스 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 전기공학, 전자공학
  • aws(automatic weather station)
  • ets(equitablethreatscore)
  • fcm(fuzzyc-meansmethod)
  • pso (particle swarm optimization)
  • rbfnns(radial basis function neural networks)
  • svr(supportvectorregression)
  • undersample
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,437 0

0.0%

' AWS자료 기반 SVR과 뉴로-퍼지 알고리즘 구현 호우주의보 가이던스 연구' 의 참고문헌

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