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Volumn 3, Issue , 2004, Pages 2285-2289

On the hybrid of genetic algorithm and particle swarm optimization for evolving recurrent neural network

Author keywords

[No Author keywords available]

Indexed keywords

FULLY CONNECTED RECURRENT NEURAL NETWORK (FCRNN); MUTATION OPERATION; PARTICLE SWARM OPTIMIZATION (PSO); TEMPORAL SEQUENCE PRODUCTION PROBLEM;

EID: 10844288785     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380980     Document Type: Conference Paper
Times cited : (16)

References (9)
  • 4
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm - Explosion, stability, and convergence in a multidimentional complex space
    • Feb.
    • M. Clerc and J. Kennedy, "The particle swarm - explosion, stability, and convergence in a multidimentional complex space," IEEE Trans. Evolutionary Computation, Vol. 6, No. 1, pp. 58-73, Feb., 2002.
    • (2002) IEEE Trans. Evolutionary Computation , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 8
    • 0027765180 scopus 로고
    • Dynamic memory by recurrent neural network and its learning by genetic algorithm
    • Texas, Dec.
    • T. Fukuda, T. Kohno and T. Shibata, "Dynamic memory by recurrent neural network and its learning by genetic algorithm," Proc. IEEE 32nd Conf. Decision and Control, Texas, pp. 2815-2820, Dec. 1993.
    • (1993) Proc. IEEE 32nd Conf. Decision and Control , pp. 2815-2820
    • Fukuda, T.1    Kohno, T.2    Shibata, T.3
  • 9
    • 0001202597 scopus 로고
    • Learning state space trajectories in recurrent neural networks
    • B. A. Pearlmutter, "Learning state space trajectories in recurrent neural networks," Neural Computation, Vol. 1, pp. 263-269, 1989.
    • (1989) Neural Computation , vol.1 , pp. 263-269
    • Pearlmutter, B.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.