307 related articles for article (PubMed ID: 22386785)
1. Metamodeling and the Critic-based approach to multi-level optimization.
Werbos L; Kozma R; Silva-Lugo R; Pazienza GE; Werbos PJ
Neural Netw; 2012 Aug; 32():179-85. PubMed ID: 22386785
[TBL] [Abstract][Full Text] [Related]
2. A boundedness result for the direct heuristic dynamic programming.
Liu F; Sun J; Si J; Guo W; Mei S
Neural Netw; 2012 Aug; 32():229-35. PubMed ID: 22397949
[TBL] [Abstract][Full Text] [Related]
3. The portable UNIX programming system (PUPS) and CANTOR: a computational environment for dynamical representation and analysis of complex neurobiological data.
O'Neill MA; Hilgetag CC
Philos Trans R Soc Lond B Biol Sci; 2001 Aug; 356(1412):1259-76. PubMed ID: 11545702
[TBL] [Abstract][Full Text] [Related]
4. A forecast-based STDP rule suitable for neuromorphic implementation.
Davies S; Galluppi F; Rast AD; Furber SB
Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500
[TBL] [Abstract][Full Text] [Related]
5. An alternative recurrent neural network for solving variational inequalities and related optimization problems.
Hu X; Zhang B
IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1640-5. PubMed ID: 19661003
[TBL] [Abstract][Full Text] [Related]
6. Computational tools for the modern andrologist.
Niederberger C
J Androl; 1996; 17(5):462-6. PubMed ID: 8957688
[TBL] [Abstract][Full Text] [Related]
7. Converting general nonlinear programming problems into separable programming problems with feedforward neural networks.
Lu BL; Ito K
Neural Netw; 2003 Sep; 16(7):1059-74. PubMed ID: 14692639
[TBL] [Abstract][Full Text] [Related]
8. Discrete-time nonlinear HJB solution using approximate dynamic programming: convergence proof.
Al-Tamimi A; Lewis FL; Abu-Khalaf M
IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):943-9. PubMed ID: 18632382
[TBL] [Abstract][Full Text] [Related]
9. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
Liu Q; Guo Z; Wang J
Neural Netw; 2012 Feb; 26():99-109. PubMed ID: 22019190
[TBL] [Abstract][Full Text] [Related]
10. Multi-sensor optimal H∞ fusion filters for delayed nonlinear intelligent systems based on a unified model.
Liu M; Zhang S; Jin Y
Neural Netw; 2011 Apr; 24(3):280-90. PubMed ID: 21167678
[TBL] [Abstract][Full Text] [Related]
11. Evolving neural networks for strategic decision-making problems.
Kohl N; Miikkulainen R
Neural Netw; 2009 Apr; 22(3):326-37. PubMed ID: 19362804
[TBL] [Abstract][Full Text] [Related]
12. Meta-learning approach to neural network optimization.
Kordík P; Koutník J; Drchal J; Kovárík O; Cepek M; Snorek M
Neural Netw; 2010 May; 23(4):568-82. PubMed ID: 20227243
[TBL] [Abstract][Full Text] [Related]
13. An efficient and accurate solution methodology for bilevel multi-objective programming problems using a hybrid evolutionary-local-search algorithm.
Deb K; Sinha A
Evol Comput; 2010; 18(3):403-49. PubMed ID: 20560758
[TBL] [Abstract][Full Text] [Related]
14. A novel neural dynamical approach to convex quadratic program and its efficient applications.
Xia Y; Sun C
Neural Netw; 2009 Dec; 22(10):1463-70. PubMed ID: 19410427
[TBL] [Abstract][Full Text] [Related]
15. Issues on stability of ADP feedback controllers for dynamical systems.
Balakrishnan SN; Ding J; Lewis FL
IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):913-7. PubMed ID: 18632377
[TBL] [Abstract][Full Text] [Related]
16. Error bounds of adaptive dynamic programming algorithms for solving undiscounted optimal control problems.
Liu D; Li H; Wang D
IEEE Trans Neural Netw Learn Syst; 2015 Jun; 26(6):1323-34. PubMed ID: 25751878
[TBL] [Abstract][Full Text] [Related]
17. A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems.
Padhi R; Unnikrishnan N; Wang X; Balakrishnan SN
Neural Netw; 2006 Dec; 19(10):1648-60. PubMed ID: 17045458
[TBL] [Abstract][Full Text] [Related]
18. Control of nonaffine nonlinear discrete-time systems using reinforcement-learning-based linearly parameterized neural networks.
Yang Q; Vance JB; Jagannathan S
IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):994-1001. PubMed ID: 18632390
[TBL] [Abstract][Full Text] [Related]
19. Neural networks for nonlinear and mixed complementarity problems and their applications.
Dang C; Leung Y; Gao XB; Chen KZ
Neural Netw; 2004 Mar; 17(2):271-83. PubMed ID: 15036344
[TBL] [Abstract][Full Text] [Related]
20. A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors.
Nageswaran JM; Dutt N; Krichmar JL; Nicolau A; Veidenbaum AV
Neural Netw; 2009; 22(5-6):791-800. PubMed ID: 19615853
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]