These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
299 related articles for article (PubMed ID: 18249761)
21. A selective learning method to improve the generalization of multilayer feedforward neural networks. Galván IM; Isasi P; Aler R; Valls JM Int J Neural Syst; 2001 Apr; 11(2):167-77. PubMed ID: 14632169 [TBL] [Abstract][Full Text] [Related]
22. A Circuit-Based Neural Network with Hybrid Learning of Backpropagation and Random Weight Change Algorithms. Yang C; Kim H; Adhikari SP; Chua LO Sensors (Basel); 2016 Dec; 17(1):. PubMed ID: 28025566 [TBL] [Abstract][Full Text] [Related]
23. A Hybrid Method Based on Extreme Learning Machine and Self Organizing Map for Pattern Classification. Jammoussi I; Ben Nasr M Comput Intell Neurosci; 2020; 2020():2918276. PubMed ID: 32908471 [TBL] [Abstract][Full Text] [Related]
24. A formal selection and pruning algorithm for feedforward artificial neural network optimization. Ponnapalli PS; Ho KC; Thomson M IEEE Trans Neural Netw; 1999; 10(4):964-8. PubMed ID: 18252597 [TBL] [Abstract][Full Text] [Related]
25. Multifeedback-layer neural network. Savran A IEEE Trans Neural Netw; 2007 Mar; 18(2):373-84. PubMed ID: 17385626 [TBL] [Abstract][Full Text] [Related]
26. A new Jacobian matrix for optimal learning of single-layer neural networks. Peng JX; Li K; Irwin GW IEEE Trans Neural Netw; 2008 Jan; 19(1):119-29. PubMed ID: 18269943 [TBL] [Abstract][Full Text] [Related]
27. Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection. Belciug S; Gorunescu F J Biomed Inform; 2018 Jul; 83():159-166. PubMed ID: 29890313 [TBL] [Abstract][Full Text] [Related]
28. On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation. Duan S; Yu S; Chen Y; Principe JC Neural Comput; 2020 Jan; 32(1):97-135. PubMed ID: 31703172 [TBL] [Abstract][Full Text] [Related]
29. Training two-layered feedforward networks with variable projection method. Kim CT; Lee JJ IEEE Trans Neural Netw; 2008 Feb; 19(2):371-5. PubMed ID: 18269969 [TBL] [Abstract][Full Text] [Related]
30. 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 [TBL] [Abstract][Full Text] [Related]
31. 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]
32. A neural network learning algorithm tailored for VLSI implementation. Hollis PW; Paulos JJ IEEE Trans Neural Netw; 1994; 5(5):784-91. PubMed ID: 18267851 [TBL] [Abstract][Full Text] [Related]
33. Optimal design of connectivity in neural network training. Jordanov I; Brown R Biomed Sci Instrum; 2000; 36():27-32. PubMed ID: 10834204 [TBL] [Abstract][Full Text] [Related]
34. Optimization-based learning with bounded error for feedforward neural networks. Alessandri A; Sanguineti M; Maggiore M IEEE Trans Neural Netw; 2002; 13(2):261-73. PubMed ID: 18244429 [TBL] [Abstract][Full Text] [Related]
35. A learning algorithm for adaptive canonical correlation analysis of several data sets. Vía J; Santamaría I; Pérez J Neural Netw; 2007 Jan; 20(1):139-52. PubMed ID: 17113263 [TBL] [Abstract][Full Text] [Related]
36. Radial basis function network-based transform for a nonlinear support vector machine as optimized by a particle swarm optimization algorithm with application to QSAR studies. Tang LJ; Zhou YP; Jiang JH; Zou HY; Wu HL; Shen GL; Yu RQ J Chem Inf Model; 2007; 47(4):1438-45. PubMed ID: 17555309 [TBL] [Abstract][Full Text] [Related]
37. 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]
38. A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm. Abid S; Fnaiech F; Najim M IEEE Trans Neural Netw; 2001; 12(2):424-30. PubMed ID: 18244397 [TBL] [Abstract][Full Text] [Related]
39. Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm. Lu Y; Sundararajan N; Saratchandran P IEEE Trans Neural Netw; 1998; 9(2):308-18. PubMed ID: 18252454 [TBL] [Abstract][Full Text] [Related]