160 related articles for article (PubMed ID: 10401926)
21. Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks.
Patra JC; Kot AC
IEEE Trans Syst Man Cybern B Cybern; 2002; 32(4):505-11. PubMed ID: 18238146
[TBL] [Abstract][Full Text] [Related]
22. Coronary artery bypass risk prediction using neural networks.
Lippmann RP; Shahian DM
Ann Thorac Surg; 1997 Jun; 63(6):1635-43. PubMed ID: 9205161
[TBL] [Abstract][Full Text] [Related]
23. Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery.
Vaughn ML
Neural Netw; 1999 Nov; 12(9):1259-1271. PubMed ID: 12662631
[TBL] [Abstract][Full Text] [Related]
24. Significance of distributed representation in the output layer of a neural network in a pattern recognition task.
Takeda T; Kishi K; Yamanouchi T; Mizoe H; Matsuoka T
Med Biol Eng Comput; 1994 Jan; 32(1):77-84. PubMed ID: 8182966
[TBL] [Abstract][Full Text] [Related]
25. Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.
Belciug S
J Biomed Inform; 2020 Feb; 102():103373. PubMed ID: 31901506
[TBL] [Abstract][Full Text] [Related]
26. An analytical framework for local feedforward networks.
Weaver S; Baird L; Polycarpou M
IEEE Trans Neural Netw; 1998; 9(3):473-82. PubMed ID: 18252471
[TBL] [Abstract][Full Text] [Related]
27. Extracting rules from neural networks by pruning and hidden-unit splitting.
Setiono R
Neural Comput; 1997 Jan; 9(1):205-25. PubMed ID: 9117899
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes.
Narasingarao MR; Manda R; Sridhar GR; Madhu K; Rao AA
J Assoc Physicians India; 2009 Feb; 57():127-33. PubMed ID: 19582980
[TBL] [Abstract][Full Text] [Related]
30. Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.
de Jesus K; de Jesus K; Ayala HVH; Dos Santos Coelho L; Vilas-Boas JP; Fernandes RJP
J Sports Sci; 2019 Jul; 37(13):1512-1520. PubMed ID: 30724700
[TBL] [Abstract][Full Text] [Related]
31. A generalized feedforward neural network architecture for classification and regression.
Arulampalam G; Bouzerdoum A
Neural Netw; 2003; 16(5-6):561-8. PubMed ID: 12850008
[TBL] [Abstract][Full Text] [Related]
32. [Rapid Identification of Epicarpium Citri Grandis via Infrared Spectroscopy and Fluorescence Spectrum Imaging Technology Combined with Neural Network].
Pan SS; Huang FR; Xiao C; Xian RY; Ma ZG
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Oct; 35(10):2761-6. PubMed ID: 26904814
[TBL] [Abstract][Full Text] [Related]
33. Multifeedback-layer neural network.
Savran A
IEEE Trans Neural Netw; 2007 Mar; 18(2):373-84. PubMed ID: 17385626
[TBL] [Abstract][Full Text] [Related]
34. Protein secondary structure prediction with partially recurrent neural networks.
Reczko M
SAR QSAR Environ Res; 1993; 1(2-3):153-9. PubMed ID: 8790631
[TBL] [Abstract][Full Text] [Related]
35. 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
[TBL] [Abstract][Full Text] [Related]
36. A new algorithm for online structure and parameter adaptation of RBF networks.
Alexandridis A; Sarimveis H; Bafas G
Neural Netw; 2003 Sep; 16(7):1003-17. PubMed ID: 14692635
[TBL] [Abstract][Full Text] [Related]
37. Comparing support vector machines and feedforward neural networks with similar hidden-layer weights.
Romero E; Toppo D
IEEE Trans Neural Netw; 2007 May; 18(3):959-63. PubMed ID: 17526367
[TBL] [Abstract][Full Text] [Related]
38. 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
[TBL] [Abstract][Full Text] [Related]
39. Fast Clustered Radial Basis Function Network as an adaptive predictive controller.
Kosic D
Neural Netw; 2015 Mar; 63():79-86. PubMed ID: 25506759
[TBL] [Abstract][Full Text] [Related]
40. Quasi-objective nonlinear principal component analysis.
Lu BW; Pandolfo L
Neural Netw; 2011 Mar; 24(2):159-70. PubMed ID: 21095098
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
