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Autor Yáñez, Javier |
Documentos disponibles escritos por este autor (63)
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In a previous paper, the authors proposed an alternative approach to classical dimension theory, based upon a generaltexto impreso
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We introduce a suitable notion of asymptotic smoothness on infinite dimensional Banach spaces, and we prove that, under some structural restrictions on the space, the convex envelope of an asymptotically smooth function is asymptotically smooth.[...]texto impreso
The Continuous Hopfield Neural Network (CHN) is a neural network which can be used to solve some optimization problems. The weights of the network are selected based upon a set of parameters which are deduced by mapping the optimization problem [...]texto impreso
Barlow-Wu continuum structure functions have been introduced in the past as one particularly interesting family of continuum structure functions. In this paper we provide an alternative characterization for such continuum structure functions, sh[...]texto impreso
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En este trabajo se propone un algoritmo de clasificación no supervisada y jerárquica sobre un conjunto de objetos modelizados mediante un grafo. La salida de este algoritmo muestra la evolución de cómo los grupos se van rompiendo en la red de ma[...]texto impreso
Gauda, C. ; Gomez, D. ; Rodríguez, Juan Tinguaro ; Yáñez, Javier ; Montero, Javier | Atlantis Press | 2016In this paper we discuss some main image processing techniques in order to propose a classification based upon the output these methods provide. Because despite a particular image analysis technique can be supervised or unsupervised, and can all[...]texto impreso
One of the main problems in practice is the difficulty in dealing with membership functions. Many decision makers ask for a graphical representation to help them to visualize results. In this paper, we point out that some useful tools for fuzzy [...]texto impreso
Ortuño, M. T. ; Muñoz, Susana ; Ramírez, Javier ; Yáñez, Javier | Pergamon Elsevier Science | 2005-06Given a graph G = (V, E), a coloring function C assigns an integer value C(i) to each node i epsilon V in such a way that the extremes of any edge {i,j} epsilon E cannot share the same color, i.e., C(i) epsilon C(j). Two different approaches to [...]texto impreso
The continuous Hopfield network (CHN) is a classical neural network model. It can be used to solve some classification and optimization problems in the sense that the equilibrium points of a differential equation system associated to the CHN is [...]texto impreso
Gomez, D. ; Montero, Javier ; Yáñez, Javier ; González-Pachón, J. ; Cutello, V. | Taylor & Francis Ltd | 2004In this paper we address the problem of inconsistency in preference relations, pointing out the relevance of a meaningful representation in order to help decision maker to capture such inconsistencies. Dimension theory framework, despite its com[...]texto impreso
In this paper we address the problem of inconsistency in preference relations, pointing out the relevance of a meaningful representation in order to help decision maker to capture such inconsistencies. Dimension theory framework, despite its com[...]texto impreso
Montero, Javier ; Yáñez, Javier ; Amo, Ana del ; Gomez, D. ; Biging, G. | Association for Intelligent Machinery | 2002Classication of land cover represents a quite standard example of natural fuzzy boundaries between phenomena: many classes show in nature internal gradual diferences in species, health, age, moisture, as well other factors. It is unrealistic to [...]texto impreso
Dimension Theory allows the representation of any finite set of alternatives in a real space, provided that the associated preference relation de- fines a partial order set. Such a representation can be very useful whenever criteria are not know[...]