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Volumn 43, Issue 1, 2000, Pages 33-44

Training radial basis function neural networks: Effects of training set size and imbalanced training sets

Author keywords

Flow cytometry; Identification; Microalgae; RBF neural networks; Training neural networks

Indexed keywords

ALGA; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM IDENTIFICATION; FLOW CYTOMETRY; NONHUMAN; PRIORITY JOURNAL; SPECIES DIFFERENCE; TRAINING;

EID: 0034566476     PISSN: 01677012     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7012(00)00202-5     Document Type: Article
Times cited : (33)

References (29)
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  • 19
    • 0002718246 scopus 로고
    • Artificial neural networks in identification and systematics of eukaryotic microorganisms
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    • Morris, C.W.1    Boddy, L.2
  • 20
    • 0030308704 scopus 로고    scopus 로고
    • Classification as unknown by RBF networks: Discriminating phytoplankton taxa from flow cytometry data
    • Dagli, C.H., Akay, M., Chen, C.L.P., Fernandez, B.R., Ghosh, J. (Eds.). Intelligent Engineering Systems Through Artificial Neural Networks, ASME Press, New York
    • (1996) , vol.6 , pp. 629-634
    • Morris, C.W.1    Boddy, L.2
  • 21
    • 0032289288 scopus 로고    scopus 로고
    • Partitioned RBF networks for identification of biological taxa: Discrimination of phytoplankton from flow cytometry data
    • Dagli, C.H., Akay, M., Buczak, C.L.P., Ersoy, A.L., Fernandez, B.R. (Eds.). Intelligent Engineering Systems Through Artificial Neural Networks, ASME Press, New York
    • (1998) , vol.8 , pp. 637-642
    • Morris, C.W.1    Boddy, L.2
  • 29
    • 0028362299 scopus 로고
    • A comparison of radial basis function and backpropagation neural networks for identification of marine phytoplankton from multivariate flow cytometry data
    • (1994) CABIOS , vol.10 , pp. 285-294
    • Wilkins, M.F.1    Morris, C.W.2    Boddy, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.