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Volumn , Issue , 2008, Pages 171-176

Selection of radial basis functions via genetic algorithms in pattern recognition problems

Author keywords

[No Author keywords available]

Indexed keywords

DIESEL ENGINES; FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; GENETIC ALGORITHMS; IMAGE SEGMENTATION; METROPOLITAN AREA NETWORKS; NEURAL NETWORKS; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION; TRELLIS CODES;

EID: 58049206468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.2008.27     Document Type: Conference Paper
Times cited : (4)

References (12)
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    • Billings, S.1    Wei, H.-L.2    Balikhin, M.A.3
  • 2
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    • The effect of different basis functions on a radial basis function network for time series prediction: A comparative study
    • C. Harpham and C. W. Dawson. The effect of different basis functions on a radial basis function network for time series prediction: A comparative study. Neurocomputing, 69:2161-2170, 2006.
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    • Harpham, C.1    Dawson, C.W.2
  • 5
    • 6344287812 scopus 로고    scopus 로고
    • A review of genetic algorithms applied to training radial basis function networks
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    • (2004) Neural Computing and Applications , vol.13 , Issue.3 , pp. 193-201
    • Harpham, C.1    Dawson, C.W.2    Brown, M.R.3
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    • Mangasarian, O.L.1    Wolberg, W.H.2
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    • Fault detection and isolation in robotic manipulators using a multilayer perceptron and a rbf network trained by kohonen's self-organizing map
    • R. Tinós and M. H. Terra. Fault detection and isolation in robotic manipulators using a multilayer perceptron and a rbf network trained by kohonen's self-organizing map. Rev. Controle e Automação, 12(1):11-18, 2001.
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    • Yamano, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.