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Items: 1 to 20 of 138

1.

Neural networks using two-component Bose-Einstein condensates.

Byrnes T, Koyama S, Yan K, Yamamoto Y.

Sci Rep. 2013;3:2531. doi: 10.1038/srep02531.

2.
3.

A noisy chaotic neural network for solving combinatorial optimization problems: stochastic chaotic simulated annealing.

Wang L, Li S, Tian F, Fu X.

IEEE Trans Syst Man Cybern B Cybern. 2004 Oct;34(5):2119-25.

PMID:
15503507
4.

Bose-Einstein condensation in the Apollonian complex network.

de Oliveira IN, de Moura FA, Lyra ML, Andrade JS Jr, Albuquerque EL.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Mar;81(3 Pt 1):030104. Epub 2010 Mar 24.

PMID:
20365684
5.

D-brane solitons and boojums in field theory and Bose-Einstein condensates.

Kasamatsu K, Takeuchi H, Nitta M.

J Phys Condens Matter. 2013 Oct 9;25(40):404213. doi: 10.1088/0953-8984/25/40/404213. Epub 2013 Sep 11.

PMID:
24025586
6.

A new algorithm for learning in piecewise-linear neural networks.

Gad EF, Atiya AF, Shaheen S, el-Dessouki A.

Neural Netw. 2000 May-Jun;13(4-5):485-505.

PMID:
10946395
7.

Multidiscontinuity algorithm for world-line Monte Carlo simulations.

Kato Y.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Jan;87(1):013310. Epub 2013 Jan 28.

PMID:
23410463
8.

A hopfield network learning method for bipartite subgraph problem.

Wang RL, Tang Z, Cao QP.

IEEE Trans Neural Netw. 2004 Nov;15(6):1458-65.

PMID:
15565773
9.

Design of recurrent neural networks for solving constrained least absolute deviation problems.

Hu X, Sun C, Zhang B.

IEEE Trans Neural Netw. 2010 Jul;21(7):1073-86. doi: 10.1109/TNN.2010.2048123. Epub 2010 Jun 17.

PMID:
20562048
10.

A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints.

Xia Y, Feng G, Wang J.

IEEE Trans Neural Netw. 2008 Aug;19(8):1340-53. doi: 10.1109/TNN.2008.2000273.

PMID:
18701366
11.

Nonlinearly-enhanced energy transport in many dimensional quantum chaos.

Brambila DS, Fratalocchi A.

Sci Rep. 2013;3:2359. doi: 10.1038/srep02359.

12.
13.

Asymmetric continuous-time neural networks without local traps for solving constraint satisfaction problems.

Molnár B, Ercsey-Ravasz M.

PLoS One. 2013 Sep 16;8(9):e73400. doi: 10.1371/journal.pone.0073400. eCollection 2013.

14.

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. doi: 10.1016/j.neunet.2011.09.001. Epub 2011 Sep 16.

PMID:
22019190
15.

An exact accelerated stochastic simulation algorithm.

Mjolsness E, Orendorff D, Chatelain P, Koumoutsakos P.

J Chem Phys. 2009 Apr 14;130(14):144110. doi: 10.1063/1.3078490.

16.
17.

Novel hysteretic noisy chaotic neural network for broadcast scheduling problems in packet radio networks.

Sun M, Zhao L, Cao W, Xu Y, Dai X, Wang X.

IEEE Trans Neural Netw. 2010 Sep;21(9):1422-33. doi: 10.1109/TNN.2010.2059041. Epub 2010 Aug 12.

PMID:
20709638
18.

Novel maximum-margin training algorithms for supervised neural networks.

Ludwig O, Nunes U.

IEEE Trans Neural Netw. 2010 Jun;21(6):972-84. doi: 10.1109/TNN.2010.2046423. Epub 2010 Apr 19.

PMID:
20409990
19.

Reconstructing the Hopfield network as an inverse Ising problem.

Huang H.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Mar;81(3 Pt 2):036104. Epub 2010 Mar 10.

PMID:
20365812
20.

Neural network based optimal routing algorithm for communication networks.

Venkataram P, Ghosal S, Kumar BP.

Neural Netw. 2002 Dec;15(10):1289-98.

PMID:
12425444
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