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Volumn 474-476, Issue , 2011, Pages 2243-2246

The evaluation model of the hydropower project financing risk based on AHP-RS and RBF neural network

Author keywords

AHP; Financing risk; Hydropower project; RBF; RS

Indexed keywords

ANALYTIC HIERARCHY PROCESS; FINANCE; HYDROELECTRIC POWER; RADIAL BASIS FUNCTION NETWORKS; ROUGH SET THEORY;

EID: 79955833991     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/KEM.474-476.2243     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
    • 34547967662 scopus 로고    scopus 로고
    • Study of construction project bidding based on the BP neural network improved by GA
    • WANG XQ, YU G. Study of construction project bidding based on the BP neural network improved by GA. China Civil Engineering Journal, 2007, 40(7): 93-98.
    • (2007) China Civil Engineering Journal , vol.40 , Issue.7 , pp. 93-98
    • Wang, X.Q.1    Yu, G.2
  • 3
    • 33847743387 scopus 로고    scopus 로고
    • Intelligent parameter reduction using rough sets theory and sensitivity analysis
    • MONTAZER GA, SABZEVARIR, KHATIRH GP. Intelligent parameter reduction using rough sets theory and sensitivity analysis. WSEAS Transaction on Systems, 2007, 6(3): 623-630.
    • (2007) WSEAS Transaction on Systems , vol.6 , Issue.3 , pp. 623-630
    • Montazer, G.A.1    Sabzevari, R.2    Khatirh, G.P.3
  • 7
    • 0027342201 scopus 로고
    • An unsupervised neural network approach to tool wear identification
    • L.I. Burke. An unsupervised neural network approach to tool wear identification, IIE Trans., 1993,5(1): 6-25
    • (1993) IIE Trans. , vol.5 , Issue.1 , pp. 6-25
    • Burke, L.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.