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. Neural network interpolation operators optimized by Lagrange polynomial. Wang G; Yu D; Zhou P Neural Netw; 2022 Sep; 153():179-191. PubMed ID: 35728337 [TBL] [Abstract][Full Text] [Related]
7. Some comparisons of complexity in dictionary-based and linear computational models. Gnecco G; Kůrková V; Sanguineti M Neural Netw; 2011 Mar; 24(2):171-82. PubMed ID: 21094023 [TBL] [Abstract][Full Text] [Related]
8. Hopfield neural network: the hyperbolic tangent and the piecewise-linear activation functions. Mathias AC; Rech PC Neural Netw; 2012 Oct; 34():42-5. PubMed ID: 22820860 [TBL] [Abstract][Full Text] [Related]
9. Simultaneous L(p)-approximation order for neural networks. Xu ZB; Cao FL Neural Netw; 2005 Sep; 18(7):914-23. PubMed ID: 15936925 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Richards's curve induced Banach space valued multivariate neural network approximation. Anastassiou GA; Karateke S Arab J Math; 2023; 12(1):11-33. PubMed ID: 36532510 [TBL] [Abstract][Full Text] [Related]
12. Richards's curve induced Banach space valued ordinary and fractional neural network approximation. Anastassiou GA; Karateke S Rev R Acad Cienc Exactas Fis Nat A Mat; 2023; 117(1):14. PubMed ID: 36373128 [TBL] [Abstract][Full Text] [Related]
13. A new kind of Bernstein-Schurer-Stancu-Kantorovich-type operators based on Chauhan R; Ispir N; Agrawal PN J Inequal Appl; 2017; 2017(1):50. PubMed ID: 28298874 [TBL] [Abstract][Full Text] [Related]
15. On the global output convergence of a class of recurrent neural networks with time-varying inputs. Hu S; Liu D Neural Netw; 2005 Mar; 18(2):171-8. PubMed ID: 15795114 [TBL] [Abstract][Full Text] [Related]
16. On the optimality of neural-network approximation using incremental algorithms. Meir R; Maiorov VE IEEE Trans Neural Netw; 2000; 11(2):323-37. PubMed ID: 18249764 [TBL] [Abstract][Full Text] [Related]
17. The approximation of bivariate Chlodowsky-Szász-Kantorovich-Charlier-type operators. Agrawal PN; Baxhaku B; Chauhan R J Inequal Appl; 2017; 2017(1):195. PubMed ID: 28890633 [TBL] [Abstract][Full Text] [Related]
18. Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. Cao J; Wang J Neural Netw; 2004 Apr; 17(3):379-90. PubMed ID: 15037355 [TBL] [Abstract][Full Text] [Related]
19. Approximation of state-space trajectories by locally recurrent globally feed-forward neural networks. Patan K Neural Netw; 2008 Jan; 21(1):59-64. PubMed ID: 18158233 [TBL] [Abstract][Full Text] [Related]
20. On the consistency of the blocked neural network estimator in time series analysis. Sarishvili A; Andersson Ch; Franke J; Kroisandt G Neural Comput; 2006 Oct; 18(10):2568-81. PubMed ID: 16907637 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]