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Volumn 6007 LNCS, Issue , 2010, Pages 208-217

A risk factor analysis of west nile virus: Extraction of relationships from a neural-network model

Author keywords

Interpretation; Neural network; Non linear; Risk factors; West nile virus

Indexed keywords

CNN MODELS; COMPLEX RELATIONSHIPS; COMPUTATIONAL NEURAL NETWORKS; INFECTIOUS DISEASE; INTERPRETATION; LINEAR MODEL; METROPOLITAN AREA; MINNESOTA; MOSQUITO ABATEMENT; NON-LINEAR; RISK FACTORS; WEST NILE VIRUS;

EID: 78650340378     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12079-4_27     Document Type: Conference Paper
Times cited : (1)

References (7)
  • 4
    • 23844539732 scopus 로고    scopus 로고
    • Interpreting computational neural networks QSAR models: A detailed interpretation of the weights and biases
    • Guha, R., Stanton, D., Jurs, P.: Interpreting Computational Neural Networks QSAR Models: A Detailed Interpretation of the Weights and Biases. Journal of Chemical Information and Modeling 45, 1109-1121 (2005).
    • (2005) Journal of Chemical Information and Modeling , vol.45 , pp. 1109-1121
    • Guha, R.1    Stanton, D.2    Jurs, P.3
  • 7
    • 34547614121 scopus 로고    scopus 로고
    • Land cover variation and West Nile virus prevalence: Patterns, processess, and implications for disease control
    • Ezenwa, V., Milheim, L., Coffey, M., Godsey, M., King, R., Guptill, S.: Land cover variation and West Nile virus prevalence: patterns, processess, and implications for disease control. Vector Borne Zoonitc Diseases 7, 173-180 (2007).
    • (2007) Vector Borne Zoonitc Diseases , vol.7 , pp. 173-180
    • Ezenwa, V.1    Milheim, L.2    Coffey, M.3    Godsey, M.4    King, R.5    Guptill, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.