메뉴 건너뛰기




Volumn 31, Issue 4, 2001, Pages 530-535

Flood forecasting using radial basis function neural networks

Author keywords

Flood flow; Hydrological processes; Nonlinear; Radial basis function neural network (RBF NN); Rainfall runoff

Indexed keywords

FLOODS; FORECASTING; FUZZY SETS; HYDROLOGY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; RAIN; REGRESSION ANALYSIS; RIVERS;

EID: 0035521194     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/5326.983936     Document Type: Article
Times cited : (72)

References (15)
  • 3
    • 0035340711 scopus 로고    scopus 로고
    • A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction
    • (2001) J. Hydrol. , vol.245 , pp. 153-164
    • Chang, F.-J.1    Chen, Y.-C.2
  • 5
    • 0342506462 scopus 로고    scopus 로고
    • Application of a neural network technique to rainfall-runoff modeling
    • (1997) J. Hydrol. , vol.199 , pp. 272-294
    • Shamseldin, A.Y.1
  • 12
    • 0025056697 scopus 로고
    • Regularization algorithms for learning that are equivalent to multiplayer networks
    • (1990) Science , vol.247 , pp. 978-982
    • Poggio, T.1    Girosi, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.