메뉴 건너뛰기




Volumn , Issue , 2014, Pages 2609-2616

Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; EVOLUTIONARY ALGORITHMS; FORECASTING; PREDICTIVE ANALYTICS;

EID: 84908584310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2014.6900552     Document Type: Conference Paper
Times cited : (9)

References (35)
  • 1
    • 0004180181 scopus 로고    scopus 로고
    • 7th ed. Stanley Thornes (Publishers) Ltd
    • B. Massey, Mechanics of Fluids, 7th ed. Stanley Thornes (Publishers) Ltd, 1998.
    • (1998) Mechanics of Fluids
    • Massey, B.1
  • 3
    • 84863906586 scopus 로고    scopus 로고
    • Surrogate-assisted evolutionary computation: Recent advances and future challenges
    • Y. Jin, "Surrogate-assisted evolutionary computation: Recent advances and future challenges," Swarm and Evolutionary Computation, vol. 1, no. 2, pp. 61-70, 2011.
    • (2011) Swarm and Evolutionary Computation , vol.1 , Issue.2 , pp. 61-70
    • Jin, Y.1
  • 5
    • 84861875954 scopus 로고    scopus 로고
    • An airfoil optimization technique for wind turbines
    • A. Ribeiro, A. Awruch, and H. Gomes, "An airfoil optimization technique for wind turbines," Applied Mathematical Modelling, vol. 36, no. 10, pp. 4898-4907, 2012.
    • (2012) Applied Mathematical Modelling , vol.36 , Issue.10 , pp. 4898-4907
    • Ribeiro, A.1    Awruch, A.2    Gomes, H.3
  • 6
    • 0033366486 scopus 로고    scopus 로고
    • Minimizing computational data requirements for multi-element airfoils using neural networks
    • R. M. Greenman and K. R. Roth, "Minimizing computational data requirements for multi-element airfoils using neural networks," Journal of Aircraft, vol. 36, no. 5, pp. 777-784, 1999.
    • (1999) Journal of Aircraft , vol.36 , Issue.5 , pp. 777-784
    • Greenman, R.M.1    Roth, K.R.2
  • 9
    • 33750566009 scopus 로고    scopus 로고
    • Optimization using surrogate models and partially converged computational fluid dynamics simulations
    • A. Forrester, N. Bressloff, and A. Keane, "Optimization using surrogate models and partially converged computational fluid dynamics simulations," in Proceedings of the Royal Society A, 2006, pp. 2177-2204.
    • (2006) Proceedings of the Royal Society A , pp. 2177-2204
    • Forrester, A.1    Bressloff, N.2    Keane, A.3
  • 12
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • November
    • Z.-H. Zhou, J. Wu, and W. Tang, "Ensembling neural networks: Many could be better than all," Artificial Intelligence, vol. 137, pp. 239-263, November 2002.
    • (2002) Artificial Intelligence , vol.137 , pp. 239-263
    • Zhou, Z.-H.1    Wu, J.2    Tang, W.3
  • 14
    • 85008014942 scopus 로고    scopus 로고
    • Evolving artificial neural network ensembles
    • February
    • X. Yao and M. M. Islam, "Evolving artificial neural network ensembles," IEEE Computational Intelligence Magazine, vol. 3, no. 1, pp. 31-42, February 2008.
    • (2008) IEEE Computational Intelligence Magazine , vol.3 , Issue.1 , pp. 31-42
    • Yao, X.1    Islam, M.M.2
  • 15
    • 10444221886 scopus 로고    scopus 로고
    • Diversity creation methods: A survey and categorisation
    • G. Brown, J. Wyatt, R. Harris, and X. Yao, "Diversity creation methods: A survey and categorisation," Journal of Information Fusion, vol. 6, no. 1, pp. 1-28, 2005.
    • (2005) Journal of Information Fusion , vol.6 , Issue.1 , pp. 1-28
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 16
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • MIT Press
    • A. Krogh and J. Vedelsby, "Neural network ensembles, cross validation, and active learning," in Advances in Neural Information Processing Systems. MIT Press, 1995, pp. 231-238.
    • (1995) Advances in Neural Information Processing Systems , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 17
    • 85156192015 scopus 로고    scopus 로고
    • Generating accurate and diverse members of a neural-network ensemble
    • MIT Press
    • D. W. Opitz and J. W. Shavlik, "Generating accurate and diverse members of a neural-network ensemble," in Advances in Neural Information Processing Systems. MIT Press, 1996, pp. 535-541.
    • (1996) Advances in Neural Information Processing Systems , pp. 535-541
    • Opitz, D.W.1    Shavlik, J.W.2
  • 18
    • 32144456690 scopus 로고    scopus 로고
    • DIVACE: Diverse and accurate ensemble learning algorithm
    • Z. Yang, H. Yin, and R. Everson, Eds. Springer Berlin Heidelberg
    • A. Chandra and X. Yao, "DIVACE: Diverse and accurate ensemble learning algorithm," in IDEAL, ser. Lecture Notes in Computer Science, Z. Yang, H. Yin, and R. Everson, Eds. Springer Berlin Heidelberg, 2004, vol. 3177, pp. 619-625.
    • (2004) IDEAL, Ser. Lecture Notes in Computer Science , vol.3177 , pp. 619-625
    • Chandra, A.1    Yao, X.2
  • 19
    • 4344623228 scopus 로고    scopus 로고
    • Neural network regularization and ensembling using multi-objective evolutionary algorithms
    • June
    • Y. Jin, T. Okabe, and B. Sendhoff, "Neural network regularization and ensembling using multi-objective evolutionary algorithms," in IEEE Congress on Evolutionary Computation, vol. 1, June 2004, pp. 1-8.
    • (2004) IEEE Congress on Evolutionary Computation , vol.1 , pp. 1-8
    • Jin, Y.1    Okabe, T.2    Sendhoff, B.3
  • 21
    • 84901459245 scopus 로고    scopus 로고
    • Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization
    • H. Abbass, "Pareto neuro-evolution: Constructing ensemble of neural networks using multi-objective optimization," in IEEE Congress on Evolutionary Computation, vol. 3, 2003, pp. 2074-2080.
    • (2003) IEEE Congress on Evolutionary Computation , vol.3 , pp. 2074-2080
    • Abbass, H.1
  • 23
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • X. Yao, "Evolving artificial neural networks," Proceedings of the IEEE, vol. 87, no. 9, pp. 1423-1447, 1999.
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1
  • 25
    • 0032108106 scopus 로고    scopus 로고
    • Evolutionary algorithms and gradient search: Similarities and differences
    • July
    • R. Salomon, "Evolutionary algorithms and gradient search: Similarities and differences," IEEE Trans. Evolutionary Computation, vol. 2, no. 2, pp. 45-55, July 1998.
    • (1998) IEEE Trans. Evolutionary Computation , vol.2 , Issue.2 , pp. 45-55
    • Salomon, R.1
  • 28
    • 0037239496 scopus 로고    scopus 로고
    • Recurrent neural networks for time series classification
    • M. Husken and P. Stagge, "Recurrent neural networks for time series classification," Neurocomputing, vol. 50, pp. 223-235, 2003.
    • (2003) Neurocomputing , vol.50 , pp. 223-235
    • Husken, M.1    Stagge, P.2
  • 30
    • 0037238922 scopus 로고    scopus 로고
    • Empirical evaluation of the improved Rprop learning algorithms
    • C. Igel and M. Husken, "Empirical evaluation of the improved Rprop learning algorithms," Neurocomputing, vol. 50, pp. 105-123, 2003.
    • (2003) Neurocomputing , vol.50 , pp. 105-123
    • Igel, C.1    Husken, M.2
  • 32
    • 0030710786 scopus 로고    scopus 로고
    • Exploring the effects of lamarckian and baldwinian learning in evolving recurrent neural networks
    • K. W. Ku and M.-W. Mak, "Exploring the effects of lamarckian and baldwinian learning in evolving recurrent neural networks," in IEEE International Conference on Evolutionary Computation, 1997, pp. 617-621.
    • (1997) IEEE International Conference on Evolutionary Computation , pp. 617-621
    • Ku, K.W.1    Mak, M.-W.2
  • 33
    • 33750239012 scopus 로고    scopus 로고
    • A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regions
    • New York, NY, USA: ACM
    • L. Rachmawati and D. Srinivasan, "A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regions," in Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2006, pp. 749-750.
    • (2006) Genetic and Evolutionary Computation Conference , pp. 749-750
    • Rachmawati, L.1    Srinivasan, D.2
  • 35
    • 21144448571 scopus 로고    scopus 로고
    • Structure optimization of neural networks for evolutionary design optimization
    • M. Husken, Y. Jin, and B. Sendhoff, "Structure optimization of neural networks for evolutionary design optimization," Soft Comput., vol. 9, no. 1, pp. 21-28, 2005.
    • (2005) Soft Comput. , vol.9 , Issue.1 , pp. 21-28
    • Husken, M.1    Jin, Y.2    Sendhoff, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.