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Journal Abstract Search

344 related items for PubMed ID: 19054734

  • 1. A constructive hybrid structure optimization methodology for radial basis probabilistic neural networks.
    Huang DS, Du JX.
    IEEE Trans Neural Netw; 2008 Dec; 19(12):2099-115. PubMed ID: 19054734
    [Abstract] [Full Text] [Related]

  • 2. Statistical process control using optimized neural networks: a case study.
    Addeh J, Ebrahimzadeh A, Azarbad M, Ranaee V.
    ISA Trans; 2014 Sep; 53(5):1489-99. PubMed ID: 24210290
    [Abstract] [Full Text] [Related]

  • 3. Training reformulated radial basis function neural networks capable of identifying uncertainty in data classification.
    Karayiannis NB, Xiong Y.
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1222-34. PubMed ID: 17001983
    [Abstract] [Full Text] [Related]

  • 4. Logistic regression by means of evolutionary radial basis function neural networks.
    Gutierrez PA, Hervas-Martinez C, Martinez-Estudillo FJ.
    IEEE Trans Neural Netw; 2011 Feb; 22(2):246-63. PubMed ID: 21138802
    [Abstract] [Full Text] [Related]

  • 5. Control chart pattern recognition using an optimized neural network and efficient features.
    Ebrahimzadeh A, Ranaee V.
    ISA Trans; 2010 Jul; 49(3):387-93. PubMed ID: 20403598
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  • 6. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm.
    Wang JS, Han S.
    Comput Intell Neurosci; 2015 Jul; 2015():147843. PubMed ID: 26583034
    [Abstract] [Full Text] [Related]

  • 7. Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms.
    Garro BA, Vázquez RA.
    Comput Intell Neurosci; 2015 Jul; 2015():369298. PubMed ID: 26221132
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  • 8. Concurrent subspace width optimization method for RBF neural network modeling.
    Yao W, Chen X, Zhao Y, van Tooren M.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):247-59. PubMed ID: 24808504
    [Abstract] [Full Text] [Related]

  • 9. Control chart pattern recognition using K-MICA clustering and neural networks.
    Ebrahimzadeh A, Addeh J, Rahmani Z.
    ISA Trans; 2012 Jan; 51(1):111-9. PubMed ID: 22035774
    [Abstract] [Full Text] [Related]

  • 10. Optimized approximation algorithm in neural networks without overfitting.
    Liu Y, Starzyk JA, Zhu Z.
    IEEE Trans Neural Netw; 2008 Jun; 19(6):983-95. PubMed ID: 18541499
    [Abstract] [Full Text] [Related]

  • 11. Improving neural networks prediction accuracy using particle swarm optimization combiner.
    Elragal HM.
    Int J Neural Syst; 2009 Oct; 19(5):387-93. PubMed ID: 19885966
    [Abstract] [Full Text] [Related]

  • 12. Generalized classifier neural network.
    Ozyildirim BM, Avci M.
    Neural Netw; 2013 Mar; 39():18-26. PubMed ID: 23298551
    [Abstract] [Full Text] [Related]

  • 13. Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training.
    Meissner M, Schmuker M, Schneider G.
    BMC Bioinformatics; 2006 Mar 10; 7():125. PubMed ID: 16529661
    [Abstract] [Full Text] [Related]

  • 14. An optimization methodology for neural network weights and architectures.
    Ludermir TB, Yamazaki A, Zanchettin C.
    IEEE Trans Neural Netw; 2006 Nov 10; 17(6):1452-9. PubMed ID: 17131660
    [Abstract] [Full Text] [Related]

  • 15. Multiobjective hybrid optimization and training of recurrent neural networks.
    Delgado M, Cuéllar MP, Pegalajar MC.
    IEEE Trans Syst Man Cybern B Cybern; 2008 Apr 10; 38(2):381-403. PubMed ID: 18348922
    [Abstract] [Full Text] [Related]

  • 16. Localized generalization error model and its application to architecture selection for radial basis function neural network.
    Yeung DS, Ng WW, Wang D, Tsang EC, Wang XZ.
    IEEE Trans Neural Netw; 2007 Sep 10; 18(5):1294-305. PubMed ID: 18220181
    [Abstract] [Full Text] [Related]

  • 17. Neural network learning with global heuristic search.
    Jordanov I, Georgieva A.
    IEEE Trans Neural Netw; 2007 May 10; 18(3):937-42. PubMed ID: 17526362
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  • 18. Iterative least squares functional networks classifier.
    El-Sebakhy EA, Hadi AS, Faisal KA.
    IEEE Trans Neural Netw; 2007 May 10; 18(3):844-50. PubMed ID: 17526349
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  • 19. Efficient training algorithms for a class of shunting inhibitory convolutional neural networks.
    Tivive FH, Bouzerdoum A.
    IEEE Trans Neural Netw; 2005 May 10; 16(3):541-56. PubMed ID: 15940985
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  • 20. The performance verification of an evolutionary canonical particle swarm optimizer.
    Zhang H, Ishikawa M.
    Neural Netw; 2010 May 10; 23(4):510-6. PubMed ID: 20346858
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