Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gonzalo Joya"'
Publikováno v:
Symmetry
Volume 13
Issue 8
Symmetry, Vol 13, Iss 1534, p 1534 (2021)
Volume 13
Issue 8
Symmetry, Vol 13, Iss 1534, p 1534 (2021)
A communication network management system takes the measurements of its state variables at specific instants of time, considering them constant in the interval between two consecutive measurements. Nevertheless, this assumption is not true, since the
Publikováno v:
Neurocomputing. 164:45-55
This paper presents the construction of a numerical method for implementing algorithms that are based on a gradient flow. In particular, continuous Hopfield networks for solving optimization problems are considered as a case in point. The focus is th
Publikováno v:
Neurocomputing. 121:14-24
An algorithm for estimating time-varying parameters of dynamical systems is proposed, within the large family of prediction error methods. The algorithm is based on the ability of Hopfield neural networks to solve optimisation problems, since its for
Publikováno v:
Soft Computing. 17:239-253
In this paper we deal with the application of differential inclusions to modeling nonlinear dynamical systems under uncertainty in parameters. In this case, differential inclusions seem to be better suited to modeling practical situations under uncer
Autor:
Francisco García-Lagos, Esther García-Garaluz, Francisco Sandoval, Gonzalo Joya, Miguel Atencia
Publikováno v:
Neurocomputing. 74:2691-2697
This work is aimed at proposing an algorithm, based upon Hopfield networks, for estimating the parameters of delay differential equations. This neural estimator has been successfully applied to models described by Ordinary Differential Equations, whe
Publikováno v:
Neural Computation. 17:1802-1819
In this letter, the ability of higher-order Hopfield networks to solve combinatorial optimization problems is assessed by means of a rigorous analysis of their properties. The stability of the continuous network is almost completely clarified: (1) hy
Publikováno v:
Neurocomputing. 43:219-237
In this paper the application of arbitrary order Hop"eld-like neural networks to optimization problems is studied. These networks are classi"ed in three categories according to their dynamics, expliciting the energy function for each category. The ma
Publikováno v:
e & i Elektrotechnik und Informationstechnik. 117:4-7
State estimation processes measurements and other information to find the network state vector. In this paper, state estimation is considered as an optimization problem to be solved with a Hopfield neural network. Several activation models for this n
Publikováno v:
Neurocomputing. 14:139-156
We have studied the restrictions that a first order asynchronous feedback neural network must fulfill to be associated to an arbitrary order energy function of the kind described by Kobuchi [6], i.e., the network evolution is related to the descent t
Autor:
Francisco Sandoval, Gonzalo Joya, Miguel Atencia, Esther García-Garaluz, Francisco García-Lagos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642024771
IWANN (1)
IWANN (1)
The objective of the work described in this paper is twofold. On the one hand, the aim is to present and validate a model of Dengue fever for the Cuban case which is defined by a delay differential system. Such a model includes time-varying parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d9ea60657b8844c5555bc565a05880d
https://doi.org/10.1007/978-3-642-02478-8_113
https://doi.org/10.1007/978-3-642-02478-8_113