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Volumn 3316, Issue , 2004, Pages 953-958

Evolving fuzzy neural networks applied to odor recognition

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; FUZZY LOGIC; NEURAL NETWORKS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; TIME DELAY;

EID: 35048879280     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_147     Document Type: Article
Times cited : (1)

References (11)
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    • 0035670764 scopus 로고    scopus 로고
    • Evolving Fuzzy Neural Networks for Supervised/Unsupervised On-Line, Knowledge-Based Learning
    • December
    • Kasabov N.: Evolving Fuzzy Neural Networks for Supervised/Unsupervised On-Line, Knowledge-Based Learning. IEEE Trans. on Systems, Man and Cybernetics, Part B: Cybernetics, Vol. 31, No. 6, December (2001) 902-918.
    • (2001) IEEE Trans. on Systems, Man and Cybernetics, Part B: Cybernetics , vol.31 , Issue.6 , pp. 902-918
    • Kasabov, N.1
  • 3
    • 0022471098 scopus 로고
    • Learning Representations by Backpropagation Errors
    • Rumelhart D. E., Hinton G. E., Williams R. J.: Learning Representations by Backpropagation Errors, Nature, No. 323 (1986) 533-536.
    • (1986) Nature , Issue.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 5
    • 32144462595 scopus 로고    scopus 로고
    • Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose
    • Melbourne, Austrália
    • Zanchettin C., Ludermir T. B.: Wavelet Filter for Noise Reduction and Signal Compression in an Artificial Nose. In: Hybrid intelligent System, Melbourne, Austrália (2003) 907-916.
    • (2003) Hybrid Intelligent System , pp. 907-916
    • Zanchettin, C.1    Ludermir, T.B.2
  • 6
    • 10944267384 scopus 로고    scopus 로고
    • A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose
    • Melbourne, Australia
    • Zanchettin C., Ludermir T. B.: A Neuro-Fuzzy Model Applied to Odor Recognition in an Artificial Nose. In: Hybrid intelligent System, Melbourne, Australia (2003) 917-926.
    • (2003) Hybrid Intelligent System , pp. 917-926
    • Zanchettin, C.1    Ludermir, T.B.2
  • 7
    • 0000353087 scopus 로고
    • The ECOS framework and the "eco" training method for evolving connectionist systems
    • Kasabov N.: The ECOS framework and the "eco" training method for evolving connectionist systems. In: Journal of Advanced Computational Intelligence, Vol. 2, No. 6, (1983) 1-8.
    • (1983) Journal of Advanced Computational Intelligence , vol.2 , Issue.6 , pp. 1-8
    • Kasabov, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.