Zobrazeno 1 - 10
of 587
pro vyhledávání: '"Shim G"'
Publikováno v:
Phys.Rev.Lett.94:198701,2005
We study a zero range process on scale-free networks in order to investigate how network structure influences particle dynamics. The zero range process is defined with the particle jumping rate function $p(n)=n^\delta$. We show analytically that a co
Externí odkaz:
http://arxiv.org/abs/cond-mat/0409120
We present an analytic study of the three-urn model for separation of sand. We solve analytically the master equation and the first-passage problem. We find that the stationary probability distribution obeys the detailed balance and is governed by th
Externí odkaz:
http://arxiv.org/abs/cond-mat/0402113
The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied for arbitrary temperature. By employing a probabilistic signal-to-noise approach, a recursive scheme is found determining the time evolution of the dis
Externí odkaz:
http://arxiv.org/abs/cond-mat/0304553
A Blume-Emery-Griffiths perceptron model is introduced and its optimal capacity is calculated within the replica-symmetric Gardner approach, as a function of the pattern activity and the imbedding stability parameter. The stability of the replica-sym
Externí odkaz:
http://arxiv.org/abs/cond-mat/0210256
We present an analytic study of the urn model for separation of sand recently introduced by Lipowski and Droz (Phys. Rev. E 65, 031307 (2002)). We solve analytically the master equation and the first-passage problem. The analytic results confirm the
Externí odkaz:
http://arxiv.org/abs/cond-mat/0208034
The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied at zero temperature for arbitrary using a probabilistic approach. A recursive scheme is found determining the complete time evolution of the order para
Externí odkaz:
http://arxiv.org/abs/cond-mat/0206569
Autor:
Bolle', D., Shim, G. M.
The time evolution of the local field in symmetric Q-Ising neural networks is studied for arbitrary Q. In particular, the structure of the noise and the appearance of gaps in the probability distribution are discussed. Results are presented for sever
Externí odkaz:
http://arxiv.org/abs/cond-mat/0106242
Publikováno v:
J.Phys.A: Math.Gen. 33, 6481-6495 (2000).
Using the replica-symmetric mean-field theory approach the thermodynamic and retrieval properties of extremely diluted {\it symmetric} $Q$-Ising neural networks are studied. In particular, capacity-gain parameter and capacity-temperature phase diagra
Externí odkaz:
http://arxiv.org/abs/cond-mat/0002200
This contribution reviews the parallel dynamics of Q-Ising neural networks for various architectures: extremely diluted asymmetric, layered feedforward, extremely diluted symmetric, and fully connected. Using a probabilistic signal-to-noise ratio ana
Externí odkaz:
http://arxiv.org/abs/cond-mat/9907390
Publikováno v:
J Phys.A: Math.Gen. 32 (1999) 3201-3207
The replica method is applied to a neural network model with state-dependent synapses built from those patterns having a correlation with the state of the system greater than a certain threshold. Replica-symmetric and first-step replica-symmetry-brea
Externí odkaz:
http://arxiv.org/abs/cond-mat/9811244