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Volumn 11, Issue 4, 2014, Pages 434-440

An improved gravitational search algorithm for dynamic neural network identification

Author keywords

Gravitational search algorithm; neural network; optimization; orbital change; system identification

Indexed keywords

IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; RECURRENT NEURAL NETWORKS; GRAVITATION; MAGNETIC LEVITATION; MAGNETIC LEVITATION VEHICLES; RELIGIOUS BUILDINGS;

EID: 84905644646     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-014-0810-9     Document Type: Article
Times cited : (24)

References (18)
  • 3
    • 80052078913 scopus 로고    scopus 로고
    • Forecasting future oil demand in Iran using GSA (gravitational search algorithm)
    • M. A. Behrang, E. Assareh, M. Ghalambaz, M. R. Assari, A. R. Noghrehabadi. Forecasting future oil demand in Iran using GSA (gravitational search algorithm). Energy, vol. 36, no. 9, pp. 5649-5654, 2011.
    • (2011) Energy , vol.36 , Issue.9 , pp. 5649-5654
    • Behrang, M.A.1    Assareh, E.2    Ghalambaz, M.3    Assari, M.R.4    Noghrehabadi, A.R.5
  • 6
    • 84871949119 scopus 로고    scopus 로고
    • Combined economic and emission dispatch solution using gravitational search algorithm
    • U. Güvenç, Y. Sönmez, S. Duman, N. Yörükeren. Combined economic and emission dispatch solution using gravitational search algorithm. Scientia Iranica, vol. 19, no. 6, pp. 1754-1762, 2012.
    • (2012) Scientia Iranica , vol.19 , Issue.6 , pp. 1754-1762
    • Güvenç, U.1    Sönmez, Y.2    Duman, S.3    Yörükeren, N.4
  • 7
    • 84881559750 scopus 로고    scopus 로고
    • Gravitational search algorithm for optimal economic dispatch
    • R. K. Swain, N. C. Sahu, P. K. Hota. Gravitational search algorithm for optimal economic dispatch. Procedia Technology, vol. 6, pp. 411-419, 2012.
    • (2012) Procedia Technology , vol.6 , pp. 411-419
    • Swain, R.K.1    Sahu, N.C.2    Hota, P.K.3
  • 8
  • 9
    • 0028336556 scopus 로고
    • Genetic evolution of the topology and weight distribution of neural networks
    • V. Maniezzo. Genetic evolution of the topology and weight distribution of neural networks. IEEE Transactions on Neural Networks, vol. 5, no. 1, pp. 39-53, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.1 , pp. 39-53
    • Maniezzo, V.1
  • 10
    • 0028835062 scopus 로고
    • Radial basis function network configuration using genetic algorithms
    • S. A. Billing, G. L. Zheng. Radial basis function network configuration using genetic algorithms. Neural Networks, vol. 8, no. 6, pp. 877-890, 1995.
    • (1995) Neural Networks , vol.8 , Issue.6 , pp. 877-890
    • Billing, S.A.1    Zheng, G.L.2
  • 12
    • 22144456767 scopus 로고    scopus 로고
    • A new methodology to solve non-linear equation systems using genetic algorithms. Application to combined cyclegas turbine simulation
    • A. Rovira, M. Valdes, J. Casanova. A new methodology to solve non-linear equation systems using genetic algorithms. Application to combined cyclegas turbine simulation. International Journal for Numerical Methods in Engineering, vol. 63, no. 10, pp. 1424-1435, 2005.
    • (2005) International Journal for Numerical Methods in Engineering , vol.63 , Issue.10 , pp. 1424-1435
    • Rovira, A.1    Valdes, M.2    Casanova, J.3
  • 15
    • 63749127171 scopus 로고    scopus 로고
    • A simplex method based improved particle swarm optimization and analysis on its global convergence
    • Y. Zhang, D. W. Gong, W. Q. Zhang. A simplex method based improved particle swarm optimization and analysis on its global convergence. Acta Automatica Sinica, vol. 35, no. 3, pp. 289-297, 2009. (in Chinese).
    • (2009) Acta Automatica Sinica , vol.35 , Issue.3 , pp. 289-297
    • Zhang, Y.1    Gong, D.W.2    Zhang, W.Q.3
  • 16
    • 79960871472 scopus 로고    scopus 로고
    • Hybrid optimized algorithms based on the Rosenbrock search method and dynamic inertia weight PSO
    • S. J. Jia, B. Du. Hybrid optimized algorithms based on the Rosenbrock search method and dynamic inertia weight PSO. Control and Decision, vol. 26, no. 7, pp. 1060-1064, 2011. (in Chinese).
    • (2011) Control and Decision , vol.26 , Issue.7 , pp. 1060-1064
    • Jia, S.J.1    Du, B.2
  • 17
    • 34247382542 scopus 로고    scopus 로고
    • Hybrid nonlinear autoregressive neural networks for permanent-magnet linear synchronous motor identification
    • G. Lü, Y. Fan, G. G. Li. Hybrid nonlinear autoregressive neural networks for permanent-magnet linear synchronous motor identification. Control Theory & Applications, vol. 24, no. 1, pp. 99-102, 2007. (in Chinese).
    • (2007) Control Theory & Applications , vol.24 , Issue.1 , pp. 99-102
    • Lü, G.1    Fan, Y.2    Li, G.G.3
  • 18
    • 84860306774 scopus 로고    scopus 로고
    • A fast and independent architecture of artificial neural network for permeability prediction
    • P. Tahmasebi, A. Hezarkhani. A fast and independent architecture of artificial neural network for permeability prediction. Journal of Petroleum Science and Engineering, vol. 86-87, pp. 118-126, 2012.
    • (2012) Journal of Petroleum Science and Engineering , vol.86-87 , pp. 118-126
    • Tahmasebi, P.1    Hezarkhani, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.