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Items: 1 to 20 of 104

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.

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
3.
4.

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
5.

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
6.

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
7.

Evolutionary games of condensates in coupled birth-death processes.

Knebel J, Weber MF, Krüger T, Frey E.

Nat Commun. 2015 Apr 24;6:6977. doi: 10.1038/ncomms7977.

8.

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.

9.

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
10.

Stationary solutions for the 2+1 nonlinear Schrödinger equation modeling Bose-Einstein condensates in radial potentials.

Mallory K, Van Gorder RA.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Aug;90(2):023201. Epub 2014 Aug 1.

PMID:
25215837
11.

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
12.

Quantum simulations of classical annealing processes.

Somma RD, Boixo S, Barnum H, Knill E.

Phys Rev Lett. 2008 Sep 26;101(13):130504. Epub 2008 Sep 26.

PMID:
18851429
13.

Absence of single-particle Bose-Einstein condensation at low densities for bosons with correlated hopping.

Bendjama R, Kumar B, Mila F.

Phys Rev Lett. 2005 Sep 9;95(11):110406. Epub 2005 Sep 9.

PMID:
16196986
14.

Nonlinearly-enhanced energy transport in many dimensional quantum chaos.

Brambila DS, Fratalocchi A.

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

15.

A Projection Neural Network for Constrained Quadratic Minimax Optimization.

Liu Q, Wang J.

IEEE Trans Neural Netw Learn Syst. 2015 Nov;26(11):2891-900. doi: 10.1109/TNNLS.2015.2425301. Epub 2015 May 7.

PMID:
25966485
16.

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
17.

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
18.

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
19.

Exact eigenstates and magnetic response of spin-1 and spin-2 bose-einstein condensates

Koashi M, Ueda M.

Phys Rev Lett. 2000 Feb 7;84(6):1066-9.

PMID:
11017445
20.

Single-hidden-layer feed-forward quantum neural network based on Grover learning.

Liu CY, Chen C, Chang CT, Shih LM.

Neural Netw. 2013 Sep;45:144-50. doi: 10.1016/j.neunet.2013.02.012. Epub 2013 Mar 14.

PMID:
23545155

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