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Volumn 2084 LNCS, Issue PART 1, 2001, Pages 285-292

Speech recognition using fuzzy second-order recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FUZZY NEURAL NETWORKS; SPEECH RECOGNITION; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 84902137336     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45720-8_32     Document Type: Conference Paper
Times cited : (2)

References (9)
  • 1
    • 0033686963 scopus 로고    scopus 로고
    • Extracting rules from a (fuzzy/crisp) recurrent neural networks using a self-organizing map
    • Blanco A., Delgado M. and Pegalajar M.C: Extracting Rules from a (Fuzzy/Crisp) Recurrent Neural Networks using a Self-Organizing Map. International Journal of Intelligent Systems 15 (2000) 595-621.
    • (2000) International Journal of Intelligent Systems , vol.15 , pp. 595-621
    • Blanco, A.1    Delgado, M.2    Pegalajar, M.C.3
  • 2
    • 0035186217 scopus 로고    scopus 로고
    • A real-coded genetic algorithm for training recurrent neural networks
    • Blanco A., Delgado M. and Pegalajar M.C: A Real-Coded Genetic Algorithm for Training Recurrent Neural Networks. Neural Network 14 (2001) 93-105.
    • (2001) Neural Network , vol.14 , pp. 93-105
    • Blanco, A.1    Delgado, M.2    Pegalajar, M.C.3
  • 6
    • 0001202597 scopus 로고
    • Learning state space trajectories in recurrent neural networks
    • Pearlmutter, B: Learning state space trajectories in recurrent neural networks. Neural Computation 1 (1989) 263-269.
    • (1989) Neural Computation , vol.1 , pp. 263-269
    • Pearlmutter, B.1
  • 7
    • 0000599735 scopus 로고
    • Dynamics and architecture for neural computation
    • Pineda, F: Dynamics and architecture for neural computation. Journal of Complexity, 4 (1988) 216-245.
    • (1988) Journal of Complexity , vol.4 , pp. 216-245
    • Pineda, F.1
  • 9
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • Williams, R., and Zipser, D: A learning algorithm for continually running fully recurrent neural networks. Neural Computation, 1 (1989) 270-277.
    • (1989) Neural Computation , vol.1 , pp. 270-277
    • Williams, R.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.