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Items: 1 to 20 of 99

1.

Radial Basis Function Neural Network With Incremental Learning for Face Recognition.

Yee Wan Wong, Kah Phooi Seng, Li-Minn Ang.

IEEE Trans Syst Man Cybern B Cybern. 2011 Aug;41(4):940-9. doi: 10.1109/TSMCB.2010.2101591. Epub 2011 Jan 17.

PMID:
21245011
2.

Face recognition with radial basis function (RBF) neural networks.

Er MJ, Wu S, Lu J, Toh HL.

IEEE Trans Neural Netw. 2002;13(3):697-710. doi: 10.1109/TNN.2002.1000134.

PMID:
18244466
3.

A novel incremental principal component analysis and its application for face recognition.

Zhao H, Yuen PC, Kwok JT.

IEEE Trans Syst Man Cybern B Cybern. 2006 Aug;36(4):873-86.

PMID:
16903371
4.

Boosted online learning for face recognition.

Masip D, Lapedriza A, Vitrià J.

IEEE Trans Syst Man Cybern B Cybern. 2009 Apr;39(2):530-8. doi: 10.1109/TSMCB.2008.2007497. Epub 2008 Dec 16.

PMID:
19095543
5.

A modified artificial immune system based pattern recognition approach--an application to clinical diagnostics.

Zhao W, Davis CE.

Artif Intell Med. 2011 May;52(1):1-9. doi: 10.1016/j.artmed.2011.03.001. Epub 2011 Apr 22.

6.

Incremental learning of feature space and classifier for face recognition.

Ozawa S, Toh SL, Abe S, Pang S, Kasabov N.

Neural Netw. 2005 Jun-Jul;18(5-6):575-84.

PMID:
16102940
7.

A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation.

Vuković N, Miljković Z.

Neural Netw. 2013 Oct;46:210-26. doi: 10.1016/j.neunet.2013.06.004. Epub 2013 Jun 14.

PMID:
23811384
8.

A new RBF neural network with boundary value constraints.

Hong X, Chen S.

IEEE Trans Syst Man Cybern B Cybern. 2009 Feb;39(1):298-303. doi: 10.1109/TSMCB.2008.2005124. Epub 2008 Dec 9.

PMID:
19068436
9.

Incremental linear discriminant analysis for face recognition.

Zhao H, Yuen PC.

IEEE Trans Syst Man Cybern B Cybern. 2008 Feb;38(1):210-21. doi: 10.1109/TSMCB.2007.908870.

PMID:
18270092
10.
11.

A neural-network learning theory and a polynomial time RBF algorithm.

Roy A, Govil S, Miranda R.

IEEE Trans Neural Netw. 1997;8(6):1301-13.

PMID:
18255732
12.

Selecting radial basis function network centers with recursive orthogonal least squares training.

Gomm JB, Yu DL.

IEEE Trans Neural Netw. 2000;11(2):306-14. doi: 10.1109/72.839002.

PMID:
18249762
13.

Robust algorithm for arrhythmia classification in ECG using extreme learning machine.

Kim J, Shin HS, Shin K, Lee M.

Biomed Eng Online. 2009 Oct 28;8:31. doi: 10.1186/1475-925X-8-31.

14.

Sensitivity analysis applied to the construction of radial basis function networks.

Shi D, Yeung DS, Gao J.

Neural Netw. 2005 Sep;18(7):951-7.

PMID:
15939573
15.
16.

Logarithmic learning for generalized classifier neural network.

Ozyildirim BM, Avci M.

Neural Netw. 2014 Dec;60:133-40. doi: 10.1016/j.neunet.2014.08.004. Epub 2014 Aug 19.

PMID:
25216044
17.

Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks.

Chen S, Wu Y, Luk BL.

IEEE Trans Neural Netw. 1999;10(5):1239-43. doi: 10.1109/72.788663.

PMID:
18252625
18.

An efficient self-organizing RBF neural network for water quality prediction.

Han HG, Chen QL, Qiao JF.

Neural Netw. 2011 Sep;24(7):717-25. doi: 10.1016/j.neunet.2011.04.006. Epub 2011 May 4.

PMID:
21612889
19.

Robust radial basis function neural networks.

Lee CC, Chung PC, Tsai JR, Chang CI.

IEEE Trans Syst Man Cybern B Cybern. 1999;29(6):674-85. doi: 10.1109/3477.809023.

PMID:
18252348
20.

Research on an online self-organizing radial basis function neural network.

Han H, Chen Q, Qiao J.

Neural Comput Appl. 2010 Jul;19(5):667-676. Epub 2010 Jan 9.

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