220 related articles for article (PubMed ID: 9409015)
1. Neural networks for signal processing applications: ECG classification.
Mahalingam N; Kumar D
Australas Phys Eng Sci Med; 1997 Sep; 20(3):147-51. PubMed ID: 9409015
[TBL] [Abstract][Full Text] [Related]
2. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
[TBL] [Abstract][Full Text] [Related]
3. [A multi-lead ECG classification network system based on modified LADT].
Feng J; Qiu Y; Mo Z
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Oct; 23(5):956-9. PubMed ID: 17121330
[TBL] [Abstract][Full Text] [Related]
4. ECG beat classification by a novel hybrid neural network.
Dokur Z; Olmez T
Comput Methods Programs Biomed; 2001 Sep; 66(2-3):167-81. PubMed ID: 11551391
[TBL] [Abstract][Full Text] [Related]
5. A modified error backpropagation algorithm for complex-value neural networks.
Chen X; Tang Z; Variappan C; Li S; Okada T
Int J Neural Syst; 2005 Dec; 15(6):435-43. PubMed ID: 16385633
[TBL] [Abstract][Full Text] [Related]
6. A fast and convergent stochastic MLP learning algorithm.
Sakurai A
Int J Neural Syst; 2001 Dec; 11(6):573-83. PubMed ID: 11852440
[TBL] [Abstract][Full Text] [Related]
7. ECG beat recognition using fuzzy hybrid neural network.
Osowski S; Linh TH
IEEE Trans Biomed Eng; 2001 Nov; 48(11):1265-71. PubMed ID: 11686625
[TBL] [Abstract][Full Text] [Related]
8. Parameter incremental learning algorithm for neural networks.
Wan S; Banta LE
IEEE Trans Neural Netw; 2006 Nov; 17(6):1424-38. PubMed ID: 17131658
[TBL] [Abstract][Full Text] [Related]
9. A more biologically plausible learning rule than backpropagation applied to a network model of cortical area 7a.
Mazzoni P; Andersen RA; Jordan MI
Cereb Cortex; 1991; 1(4):293-307. PubMed ID: 1822737
[TBL] [Abstract][Full Text] [Related]
10. A new backpropagation learning algorithm for layered neural networks with nondifferentiable units.
Oohori T; Naganuma H; Watanabe K
Neural Comput; 2007 May; 19(5):1422-35. PubMed ID: 17381272
[TBL] [Abstract][Full Text] [Related]
11. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
Auer P; Burgsteiner H; Maass W
Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
[TBL] [Abstract][Full Text] [Related]
12. Multilayer perceptron classification of unknown volatile chemicals from the firing rates of insect olfactory sensory neurons and its application to biosensor design.
Bachtiar LR; Unsworth CP; Newcomb RD; Crampin EJ
Neural Comput; 2013 Jan; 25(1):259-87. PubMed ID: 23020109
[TBL] [Abstract][Full Text] [Related]
13. 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
[TBL] [Abstract][Full Text] [Related]
14. Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis.
Gorunescu F; Belciug S
J Biomed Inform; 2016 Oct; 63():74-81. PubMed ID: 27498068
[TBL] [Abstract][Full Text] [Related]
15. Complex-valued minimal resource allocation network for nonlinear signal processing.
Jianping D; Sundararajan N; Saratchandran P
Int J Neural Syst; 2000 Apr; 10(2):95-106. PubMed ID: 10939343
[TBL] [Abstract][Full Text] [Related]
16. A PC based neural network algorithm for measurement of heart rate variability.
Foo TT; Hull SS; Cheung JY
Biomed Sci Instrum; 1995; 31():35-40. PubMed ID: 7654980
[TBL] [Abstract][Full Text] [Related]
17. Novel maximum-margin training algorithms for supervised neural networks.
Ludwig O; Nunes U
IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990
[TBL] [Abstract][Full Text] [Related]
18. An optimization methodology for neural network weights and architectures.
Ludermir TB; Yamazaki A; Zanchettin C
IEEE Trans Neural Netw; 2006 Nov; 17(6):1452-9. PubMed ID: 17131660
[TBL] [Abstract][Full Text] [Related]
19. Equivalence of backpropagation and contrastive Hebbian learning in a layered network.
Xie X; Seung HS
Neural Comput; 2003 Feb; 15(2):441-54. PubMed ID: 12590814
[TBL] [Abstract][Full Text] [Related]
20. 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
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
