방대한 기상 레이더 데이터의 원할한 처리를 위한 순환 가중최소자승법 기반 RBF 뉴럴 네트워크 설계 및 응용

논문상세정보
' 방대한 기상 레이더 데이터의 원할한 처리를 위한 순환 가중최소자승법 기반 RBF 뉴럴 네트워크 설계 및 응용' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 전기공학, 전자공학
  • bigradardata
  • fuzzyc-mean(fcm)
  • pattern classifier
  • rbfnn
  • recursive weighted least square estimation(rwlse)
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,439 0

0.0%

' 방대한 기상 레이더 데이터의 원할한 처리를 위한 순환 가중최소자승법 기반 RBF 뉴럴 네트워크 설계 및 응용' 의 참고문헌

  • Temporal precipitation estimation from nearby radar reflectivity using dynamic factor analysis in the mountainous watershed–a case during Typhoon Morakot
    Kuo, Yi‐Ming Hydrological Processes 28 (3) [2014]
  • Recursive weighted partial least squares (rPLS): an efficient variable selection method using PLS
    Rinnan, Åsmund Journal of Chemometrics 28 (5) : 439 ~ 447 [2014]
  • Recursive least squares projection twin support vector machines for nonlinear classification
    Ding, Shifei Neurocomputing 130 : 3 ~ 9 [2014]
  • Recursive least squares estimation algorithm applied to a class of linear-inparameters output error moving average systems
    Wang, Cheng Applied Mathematics Letters 29 : 36 ~ 41 [2014]
  • Polynomial based radial basis function neural networks (RBFNN) realized with the aid of particle swarm optimization
    S. K. Oh Fuzzy Sets and Systems 163 (1) : 54 ~ 77 [2011]
  • Growing Rule-based Fuzzy Model Developed with the Aid of Fuzzy Clustering
    W. -D. Kim IFSA World Congress &NAFIPS Annual Meeting : 573 ~ 578 [2013]
  • Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization
    S. K. Oh Fuzzy Sets and Systems 237 : 96 ~ 117 [2014]
  • Design of fuzzy radial basis function-based polynomial neural networks
    S. B. Roh Fuzzy sets and systems 185 : 15 ~ 37 [2011]
  • Comparison of precipitation in the regional climate model BALTIMOS to radar observations
    Walther, A. Theoretical and Applied Climatology : 1 ~ 14 [2009]
  • A fuzzy logic technique for identifying nonprecipitating echoes in radar scans
    Berenguer, M. Journal of Atmospheric and Oceanic Technology 23 (9) : 1157 ~ 1180 [2006]