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237 related items for PubMed ID: 24808511

  • 1. Global convergence of online BP training with dynamic learning rate.
    Zhang R, Xu ZB, Huang GB, Wang D.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):330-41. PubMed ID: 24808511
    [Abstract] [Full Text] [Related]

  • 2. On adaptive learning rate that guarantees convergence in feedforward networks.
    Behera L, Kumar S, Patnaik A.
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1116-25. PubMed ID: 17001974
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  • 3. When does online BP training converge?
    Xu ZB, Zhang R, Jing WF.
    IEEE Trans Neural Netw; 2009 Oct; 20(10):1529-39. PubMed ID: 19695997
    [Abstract] [Full Text] [Related]

  • 4. Magnified gradient function with deterministic weight modification in adaptive learning.
    Ng SC, Cheung CC, Leung SH.
    IEEE Trans Neural Netw; 2004 Nov; 15(6):1411-23. PubMed ID: 15565769
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  • 5. On the weight convergence of Elman networks.
    Song Q.
    IEEE Trans Neural Netw; 2010 Mar; 21(3):463-80. PubMed ID: 20129857
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  • 7. An on-line modified least-mean-square algorithm for training neurofuzzy controllers.
    Tan WW.
    ISA Trans; 2007 Apr; 46(2):181-8. PubMed ID: 17337268
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  • 10. Adaptive computation algorithm for RBF neural network.
    Han HG, Qiao JF.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):342-7. PubMed ID: 24808512
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  • 13. Analysis of boundedness and convergence of online gradient method for two-layer feedforward neural networks.
    Lu Xu, Jinshu Chen, Defeng Huang, Jianhua Lu, Licai Fang.
    IEEE Trans Neural Netw Learn Syst; 2013 Aug; 24(8):1327-38. PubMed ID: 24808571
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  • 14. Robust adaptive gradient-descent training algorithm for recurrent neural networks in discrete time domain.
    Song Q, Wu Y, Soh YC.
    IEEE Trans Neural Netw; 2008 Nov; 19(11):1841-53. PubMed ID: 18990640
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  • 17. Convergence of gradient method with momentum for two-layer feedforward neural networks.
    Zhang N, Wu W, Zheng G.
    IEEE Trans Neural Netw; 2006 Mar; 17(2):522-5. PubMed ID: 16566479
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  • 18. A new adaptive backpropagation algorithm based on Lyapunov stability theory for neural networks.
    Man Z, Wu HR, Liu S, Yu X.
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1580-91. PubMed ID: 17131670
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  • 20. A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks.
    Heravi AR, Abed Hodtani G.
    IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):6252-6263. PubMed ID: 29993752
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