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Volumn 28, Issue 12, 2007, Pages 1452-1458

Bayesian training of neural networks using genetic programming

Author keywords

Bayesian framework; Evolutionary programming; Neural networks

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; GENETIC PROGRAMMING; MARKOV PROCESSES; METROPOLITAN AREA NETWORKS; MONTE CARLO METHODS;

EID: 34250867328     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.03.004     Document Type: Article
Times cited : (50)

References (26)
  • 3
    • 0011716069 scopus 로고    scopus 로고
    • Markov chain Monte Carlo methods for stochastic volatility models
    • Chib S., Nardari F., and Shephard N. Markov chain Monte Carlo methods for stochastic volatility models. J. Econometrics 108 (2002) 281-316
    • (2002) J. Econometrics , vol.108 , pp. 281-316
    • Chib, S.1    Nardari, F.2    Shephard, N.3
  • 4
    • 0035141641 scopus 로고    scopus 로고
    • The mozzarella cheese flavour profile: A comparison between judge panel and proton transfer reaction mass spectroscopy
    • Gasperi F., et al. The mozzarella cheese flavour profile: A comparison between judge panel and proton transfer reaction mass spectroscopy. J. Sci. Food Agric. 81 (2001) 357-363
    • (2001) J. Sci. Food Agric. , vol.81 , pp. 357-363
    • Gasperi, F.1
  • 5
    • 84950453304 scopus 로고
    • Sampling-based approaches to calculating marginal densities
    • Gelfand A.E., and Smith A.F.M. Sampling-based approaches to calculating marginal densities. J. Amer. Statist. Assoc. 85 (1990) 398-409
    • (1990) J. Amer. Statist. Assoc. , vol.85 , pp. 398-409
    • Gelfand, A.E.1    Smith, A.F.M.2
  • 6
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
    • Geman S., and Geman D. Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Machine Intell. 6 (1984) 721-741
    • (1984) IEEE Trans. Pattern Anal. Machine Intell. , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 9
    • 0036466962 scopus 로고    scopus 로고
    • Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
    • Jalobeanu A., Blanc-Féraud L., and Zerubia J. Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method. Pattern Recognition 35 (2002) 341-352
    • (2002) Pattern Recognition , vol.35 , pp. 341-352
    • Jalobeanu, A.1    Blanc-Féraud, L.2    Zerubia, J.3
  • 10
    • 0035983109 scopus 로고    scopus 로고
    • Electronic tongues and their analytical application
    • Vlasov Y., Legin A., and Rudnitskaya A. Electronic tongues and their analytical application. Anal. Biol. Chem. 373 (2002) 136-146
    • (2002) Anal. Biol. Chem. , vol.373 , pp. 136-146
    • Vlasov, Y.1    Legin, A.2    Rudnitskaya, A.3
  • 11
    • 0032382838 scopus 로고    scopus 로고
    • Markov Monte Carlo in practice: A roundtable discussion
    • Kass R.E., Carlin B.P., Gelman A., and Neal R.M. Markov Monte Carlo in practice: A roundtable discussion. Amer. Statist. 52 (1998) 93-100
    • (1998) Amer. Statist. , vol.52 , pp. 93-100
    • Kass, R.E.1    Carlin, B.P.2    Gelman, A.3    Neal, R.M.4
  • 12
    • 0036236935 scopus 로고    scopus 로고
    • Small sets and Markov transition densities
    • Kendall W.S., and Montana G. Small sets and Markov transition densities. Stoch. Process. Appl. 99 (2002) 177-194
    • (2002) Stoch. Process. Appl. , vol.99 , pp. 177-194
    • Kendall, W.S.1    Montana, G.2
  • 14
    • 1542573405 scopus 로고    scopus 로고
    • Real-parameter evolutionary Monte Carlo with applications to Bayesian mixture models
    • Ling F., and Wong W.H. Real-parameter evolutionary Monte Carlo with applications to Bayesian mixture models. J. Amer. Statist. Assoc. 96 (2001) 653-666
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 653-666
    • Ling, F.1    Wong, W.H.2
  • 16
    • 34250823716 scopus 로고    scopus 로고
    • Marwala, T., 2000. Fault identification using neural networks and vibration data. PhD thesis, University of Cambridge, 2001.
  • 17
    • 0035422543 scopus 로고    scopus 로고
    • On fault identification using pseudo-modal-energies and modal properties
    • Marwala T. On fault identification using pseudo-modal-energies and modal properties. Amer. Inst. Aeronaut. Astronaut. J. 39 (2001) 1608-1617
    • (2001) Amer. Inst. Aeronaut. Astronaut. J. , vol.39 , pp. 1608-1617
    • Marwala, T.1
  • 18
    • 0036650241 scopus 로고    scopus 로고
    • Finite element model updating using wavelet data and genetic algorithm
    • Marwala T. Finite element model updating using wavelet data and genetic algorithm. J. Aircraft 39 (2002) 709-711
    • (2002) J. Aircraft , vol.39 , pp. 709-711
    • Marwala, T.1
  • 19
    • 13844275675 scopus 로고    scopus 로고
    • Finite element updating using Bayesian framework and modal properties
    • Marwala T., and Sibisi S. Finite element updating using Bayesian framework and modal properties. J. Aircraft 42 (2005) 275-278
    • (2005) J. Aircraft , vol.42 , pp. 275-278
    • Marwala, T.1    Sibisi, S.2
  • 23
    • 34250869168 scopus 로고    scopus 로고
    • Neal, R.M., 1993. Probabilistic inference using Markov chain Monte Carlo methods. University of Toronto Technical Report CRG-TR-93-1, Toronto, Canada.
  • 24
    • 0000088731 scopus 로고
    • An improved acceptance procedure for the hybrid Monte Carlo algorithm
    • Neal R.M. An improved acceptance procedure for the hybrid Monte Carlo algorithm. J. Comput. Phys. 111 (1994) 194-203
    • (1994) J. Comput. Phys. , vol.111 , pp. 194-203
    • Neal, R.M.1
  • 25
    • 0036014344 scopus 로고    scopus 로고
    • Use of multivariate statistics in understanding wine flavor
    • Noble A.C., and Ebeler S.E. Use of multivariate statistics in understanding wine flavor. Food Rev. Int. 18 (2002) 1-20
    • (2002) Food Rev. Int. , vol.18 , pp. 1-20
    • Noble, A.C.1    Ebeler, S.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.