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.
6. Blind signal processing by the adaptive activation function neurons. Fiori S Neural Netw; 2000 Jul; 13(6):597-611. PubMed ID: 10987513 [TBL] [Abstract][Full Text] [Related]
7. Probability density function learning by unsupervised neurons. Fiori S Int J Neural Syst; 2001 Oct; 11(5):399-417. PubMed ID: 11709808 [TBL] [Abstract][Full Text] [Related]
8. Closed-form expressions of some stochastic adapting equations for nonlinear adaptive activation function neurons. Fiori S Neural Comput; 2003 Dec; 15(12):2909-29. PubMed ID: 14629873 [TBL] [Abstract][Full Text] [Related]
9. On the equivalence between kernel self-organising maps and self-organising mixture density networks. Yin H Neural Netw; 2006; 19(6-7):780-4. PubMed ID: 16759835 [TBL] [Abstract][Full Text] [Related]
10. [GSH fermentation process modeling using entropy-criterion based RBF neural network model]. Tan Z; Wang S; Deng Z; Du G Sheng Wu Gong Cheng Xue Bao; 2008 May; 24(5):829-36. PubMed ID: 18724704 [TBL] [Abstract][Full Text] [Related]
12. On the complexity of computing and learning with multiplicative neural networks. Schmitt M Neural Comput; 2002 Feb; 14(2):241-301. PubMed ID: 11802913 [TBL] [Abstract][Full Text] [Related]
13. Nonlinear complex-valued extensions of Hebbian learning: an essay. Fiori S Neural Comput; 2005 Apr; 17(4):779-838. PubMed ID: 15829090 [TBL] [Abstract][Full Text] [Related]
14. An information-theoretic approach to estimating ultrasound backscatter characteristics. Smolíková R; Wachowiak MP; Zurada JM Comput Biol Med; 2004 Jun; 34(4):355-70. PubMed ID: 15121005 [TBL] [Abstract][Full Text] [Related]
16. Analysis and simulation of creativity learning by means of artificial neural networks. Memmert D; Perl J Hum Mov Sci; 2009 Apr; 28(2):263-82. PubMed ID: 19110331 [TBL] [Abstract][Full Text] [Related]
17. Functional network topology learning and sensitivity analysis based on ANOVA decomposition. Castillo E; Sánchez-Maroño N; Alonso-Betanzos A; Castillo C Neural Comput; 2007 Jan; 19(1):231-57. PubMed ID: 17134324 [TBL] [Abstract][Full Text] [Related]
18. An enhanced self-organizing incremental neural network for online unsupervised learning. Furao S; Ogura T; Hasegawa O Neural Netw; 2007 Oct; 20(8):893-903. PubMed ID: 17826947 [TBL] [Abstract][Full Text] [Related]
19. Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks. Peña JM; Lozano JA; Larrañaga P Evol Comput; 2005; 13(1):43-66. PubMed ID: 15901426 [TBL] [Abstract][Full Text] [Related]
20. An incremental network for on-line unsupervised classification and topology learning. Furao S; Hasegawa O Neural Netw; 2006 Jan; 19(1):90-106. PubMed ID: 16153805 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]