메뉴 건너뛰기




Volumn 2, Issue PART 1, 2006, Pages 402-407

Identification of non linear fractional systems using continuous time neural networks

Author keywords

Neural networks; Non integer integrator; Non linear fractional systems; Output error identification

Indexed keywords

BLACK-BOX MODEL; CONTINUOUS-TIME NEURAL NETWORKS; DELAY BLOCKS; DIFFUSIVE EQUATIONS; FRACTIONAL SYSTEMS; MODEL REDUCTION; NEURAL STRUCTURES; NON INTEGER INTEGRATOR; NON-LINEAR; OUTPUT ERROR IDENTIFICATION; PHYSICAL LAWS; SIMULATION RESULT; TIME DOMAIN;

EID: 77953518403     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (22)
  • 5
    • 0000134812 scopus 로고
    • Une procédure d'apprentissage pour réseau à seuil assymétrique
    • Cun, Y. Le (1985). Une procédure d'apprentissage pour réseau à seuil assymétrique. Cognitiva pp. 599-604.
    • (1985) Cognitiva , pp. 599-604
    • Le, C.Y.1
  • 7
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield, J.J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 79, 2554-2558.
    • (1982) Proc. Natl. Acad. Sci. USA , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 12
    • 0000169232 scopus 로고
    • An algorithm for least- Squares estimation of non-linear parameters
    • Marquardt, D. W. (1963). An algorithm for least- squares estimation of non-linear parameters. Soc. Indust. Appl. Math.
    • (1963) Soc. Indust. Appl. Math.
    • Marquardt, D.W.1
  • 13
    • 0002487906 scopus 로고
    • Adaptative control of dynamical systems using neural networks
    • Van Nostrand Reinhold
    • Narendra, K.S. (1992). Adaptative control of dynamical systems using neural networks. In: Handbook of Intellignet Control. pp. 141-183. Van Nostrand Reinhold.
    • (1992) Handbook of Intellignet Control , pp. 141-183
    • Narendra, K.S.1
  • 14
    • 4243546845 scopus 로고    scopus 로고
    • Identification of nonlinear dynamical systems using neural networks
    • San Diego, CA: Academic Press
    • Narendra, K.S. and A.U. Levin (1997). Identification of nonlinear dynamical systems using neural networks.. In: Neural Systems for Control. pp. 129-160. San Diego, CA: Academic Press.
    • (1997) Neural Systems for Control , pp. 129-160
    • Narendra, K.S.1    Levin, A.U.2
  • 15
    • 0026117466 scopus 로고
    • Gradient methods for the optimization of dynamical systems containing neural networks
    • March
    • Narendra, K.S. and K. Parthasarathy (March 1991). Gradient methods for the optimization of dynamical systems containing neural networks. IEEE Transactions on Neural Networks 2, 252-262.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , pp. 252-262
    • Narendra, K.S.1    Parthasarathy, K.2
  • 17
    • 0029375851 scopus 로고
    • Gradient calculation for dynamic recurrent neural networks: A survey
    • Pearlmutter, Barak (1995). Gradient calculation for dynamic recurrent neural networks: a survey. IEEE Transactions on Neural Networks 5, 1212-1228.
    • (1995) IEEE Transactions on Neural Networks , vol.5 , pp. 1212-1228
    • Pearlmutter, B.1
  • 20
    • 0142009347 scopus 로고    scopus 로고
    • Modeling of electric machines by implicit derivative half-order systems
    • Retière, N. and M. Ivanes (1998). Modeling of electric machines by implicit derivative half-order systems. IEEE Power Engineering Review pp. pp. 62-64.
    • (1998) IEEE Power Engineering Review , pp. 62-64
    • Retière, N.1    Ivanes, M.2
  • 21
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart, D. E., G.E. Hinton and R.J. Williams (1986). Learning representations by back- propagating errors. Nature 323, 533-536. (Pubitemid 16025374)
    • (1986) Nature , vol.323 , Issue.6088 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 22
    • 0032027745 scopus 로고    scopus 로고
    • Runge- Kutta neural network for identification of dynamical systems in high accuracy
    • March
    • Wang, Y. J. and C. T. Lin (March 1998). Runge- kutta neural network for identification of dynamical systems in high accuracy. IEEE Transactions on Neural Networks 9, 293-307.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , pp. 293-307
    • Wang, Y.J.1    Lin, C.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.