Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alberto Prieto Espinosa"'
Autor:
Francisco M. Illeras García, María Begoña del Pino Prieto, Beatriz Prieto Campos, Alberto Prieto Espinosa
En este trabajo presentamos la experiencia llevada a cabo durante el primer año de desarrollo de un proyecto de innovación docente financiado por la Universidad de Granada, en el que se ha aplicado la metodología de aula invertida utilizando los r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::512c8e699d982b2fd6a2aa688646150f
http://hdl.handle.net/10481/41918
http://hdl.handle.net/10481/41918
Autor:
JJ Merelo, Juan Julián Merelo, Gustavo Romero López, Alberto Prieto Espinosa, Pedro Castillo Valdivieso, Ignacio Rojas
Publikováno v:
IEEE Transactions on Neural Networks. 13:1374-1394
Interest in hybrid methods that combine artificial neural networks and evolutionary algorithms has grown in the last few years, due to their robustness and ability to design networks by setting initial weight values, by searching the architecture and
Publikováno v:
IEEE Transactions on Neural Networks. 13:132-142
To date, clustering techniques have always been oriented to solve classification and pattern recognition problems. However, some authors have applied them unchanged to construct initial models for function approximators. Nevertheless, classification
Autor:
JJ Merelo, Juan Julián Merelo, Gustavo Romero López, Víctor Manuel Rivas Santos, Alberto Prieto Espinosa, Pedro Castillo Valdivieso
Publikováno v:
Neurocomputing. 35:149-163
A general problem in model selection is to obtain the right parameters that make a model fit observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP), this means finding appropiate layer size and initial weights. This paper
Autor:
JJ Merelo, Juan Julián Merelo, Gustavo Romero López, Víctor Manuel Rivas Santos, Jose Carpio, Alberto Prieto Espinosa, Pedro Castillo Valdivieso
Publikováno v:
Neural Processing Letters. 12:115-128
This paper proposes a new version of a method (G-Prop, genetic backpropagation) that attempts to solve the problem of finding appropriate initial weights and learning parameters for a single hidden layer Multilayer Perceptron (MLP) by combining an ev
Autor:
Eduardo Miguel De la Hoz Correa, Emiro De la Hoz Franco, Andrés Ortiz García, Alberto Prieto Espinosa, Julio Ortega Lopera
Publikováno v:
Advances in Computational Intelligence ISBN: 9783642386787
IWANN (1)
IWANN (1)
The growth of the Internet and consequently, the number of interconnected computers through a shared medium, has exposed a lot of relevant information to intruders and attackers. Firewalls aim to detect violations to a predefined rule set and usually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14641a788881d47de4517fbc2aa285ee
https://doi.org/10.1007/978-3-642-38679-4_53
https://doi.org/10.1007/978-3-642-38679-4_53
Autor:
JJ Merelo, Juan Julián Merelo, Antonio M. Mora García, Alberto Prieto Espinosa, Pedro Castillo Valdivieso, Juan Luis Jiménez Laredo
Publikováno v:
IEEE Congress on Evolutionary Computation
In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy enough. In this paper we present a distributed evolutionary computation system that uses the computational capabilities of the ubiquituous Web browser. Async
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