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.
23. Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler. Li G; Niu P; Wang H; Liu Y Neural Netw; 2014 Mar; 51():57-66. PubMed ID: 24373896 [TBL] [Abstract][Full Text] [Related]
24. Extreme Learning Machine for Multilayer Perceptron. Tang J; Deng C; Huang GB IEEE Trans Neural Netw Learn Syst; 2016 Apr; 27(4):809-21. PubMed ID: 25966483 [TBL] [Abstract][Full Text] [Related]
25. The target switch algorithm: a constructive learning procedure for feed-forward neural networks. Campbell C; Vicente CP Neural Comput; 1995 Nov; 7(6):1245-64. PubMed ID: 7584901 [TBL] [Abstract][Full Text] [Related]
26. Modeling of batch processes using explicitly time-dependent artificial neural networks. Ganesh B; Kumar VV; Rani KY IEEE Trans Neural Netw Learn Syst; 2014 May; 25(5):970-9. PubMed ID: 24808042 [TBL] [Abstract][Full Text] [Related]
27. A Lightweight and Efficient Method of Structural Damage Detection Using Stochastic Configuration Network. Lu Y; Wang D; Liu D; Yang X Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005534 [TBL] [Abstract][Full Text] [Related]
28. Constructive algorithms for structure learning in feedforward neural networks for regression problems. Kwok TY; Yeung DY IEEE Trans Neural Netw; 1997; 8(3):630-45. PubMed ID: 18255666 [TBL] [Abstract][Full Text] [Related]
29. 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]
30. 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. PubMed ID: 23811384 [TBL] [Abstract][Full Text] [Related]
31. A meta-cognitive learning algorithm for a Fully Complex-valued Relaxation Network. Savitha R; Suresh S; Sundararajan N Neural Netw; 2012 Aug; 32():209-18. PubMed ID: 22386600 [TBL] [Abstract][Full Text] [Related]
32. Constructive approximation to multivariate function by decay RBF neural network. Hou M; Han X IEEE Trans Neural Netw; 2010 Sep; 21(9):1517-23. PubMed ID: 20693108 [TBL] [Abstract][Full Text] [Related]
33. Local coupled feedforward neural network. Sun J Neural Netw; 2010 Jan; 23(1):108-13. PubMed ID: 19596550 [TBL] [Abstract][Full Text] [Related]
34. Two-hidden-layer feed-forward networks are universal approximators: A constructive approach. Paluzo-Hidalgo E; Gonzalez-Diaz R; Gutiérrez-Naranjo MA Neural Netw; 2020 Nov; 131():29-36. PubMed ID: 32739651 [TBL] [Abstract][Full Text] [Related]
35. FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction. Gao Y; Luan F; Pan J; Li X; He Y Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32731462 [TBL] [Abstract][Full Text] [Related]
36. Robust neural network tracking controller using simultaneous perturbation stochastic approximation. Song Q; Spall JC; Soh YC; Ni J IEEE Trans Neural Netw; 2008 May; 19(5):817-35. PubMed ID: 18467211 [TBL] [Abstract][Full Text] [Related]
37. Constructive feedforward neural networks using hermite polynomial activation functions. Ma L; Khorasani K IEEE Trans Neural Netw; 2005 Jul; 16(4):821-33. PubMed ID: 16121724 [TBL] [Abstract][Full Text] [Related]
38. A new formulation for feedforward neural networks. Razavi S; Tolson BA IEEE Trans Neural Netw; 2011 Oct; 22(10):1588-98. PubMed ID: 21859600 [TBL] [Abstract][Full Text] [Related]
39. Constructive neural-network learning algorithms for pattern classification. Parekh R; Yang J; Honavar V IEEE Trans Neural Netw; 2000; 11(2):436-51. PubMed ID: 18249773 [TBL] [Abstract][Full Text] [Related]
40. Effective neural network ensemble approach for improving generalization performance. Yang J; Zeng X; Zhong S; Wu S IEEE Trans Neural Netw Learn Syst; 2013 Jun; 24(6):878-87. PubMed ID: 24808470 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]