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    Chapter and Conference Paper

    Network Intrusion Prevention by Using Hierarchical Self-Organizing Maps and Probability-Based Labeling

    Nowadays, the growth of the computer networks and the expansion of the Internet have made the security to be a critical issue. In fact, many proposals for Intrusion Detection/Prevention Systems (IDS/IPS) have ...

    Andres Ortiz, Julio Ortega, Antonio F. Díaz in Advances in Computational Intelligence (2011)

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    Book and Conference Proceedings

    Bio-Inspired Systems: Computational and Ambient Intelligence

    10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I

    Joan Cabestany, Francisco Sandoval in Lecture Notes in Computer Science (2009)

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    Chapter and Conference Paper

    Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2

    Precedent studies have found abnormalities in the oculomotor system in patients with severe SCA2 form of autosomal dominant cerebellar ataxias (ADCA), including the latency, peak velocity, and deviation in sac...

    Rodolfo V. García, Fernando Rojas in Artificial Neural Networks – ICANN 2009 (2009)

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    Chapter and Conference Paper

    Improving the Performance of Bandwidth-Demanding Applications by a Distributed Network Interface

    In the last years, the market is demanding (scientific, multimedia, real-time, etc.) applications with high bandwidth requirements. To support this, the bandwidth of the network links has increased to reach mu...

    Andres Ortiz, Julio Ortega, Antonio F. Diaz in Distributed Computing, Artificial Intellig… (2009)

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    Book and Conference Proceedings

    Computational and Ambient Intelligence

    9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007. Proceedings

    Francisco Sandoval, Alberto Prieto in Lecture Notes in Computer Science (2007)

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    Chapter and Conference Paper

    Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments

    Modelling capabilities of Radial Basis Function Neural Networks (RBFNNs) are very dependent on four main factors: the number of neurons, the central location of each neuron, their associated weights and their ...

    Miguel Ángel López, Héctor Pomares, Miguel Damas in Computational and Ambient Intelligence (2007)

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    Chapter and Conference Paper

    Analyzing a Web-Based Social Network Using Kohonen’s SOM

    In this paper the utility of using the Self Organizing Maps (SOM), in conjunction with U-matrix, to visualize the evolution of a social network community formed by a set of blogs is shown. Weblogs are dynamic ...

    Beatriz Prieto, Juan J. Merelo, Alberto Prieto in Computational and Ambient Intelligence (2007)

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    Chapter and Conference Paper

    Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces

    Selective attention to visual-spatial stimuli causes decrements of power in alpha band and increments in beta. For steady-state visual evoked potentials (SSVEP) selective attention affects electroencephalogram...

    Miguel Angel Lopez, Hector Pomares in Bio-inspired Modeling of Cognitive Tasks (2007)

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    Chapter and Conference Paper

    Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces

    Selective attention to visual-spatial stimuli causes decrements of power in alpha band and increments in beta. For steady-state visual evoked potentials (SSVEP) selective attention affects electroencephalogram...

    Miguel Ángel López, Héctor Pomares, Miguel Damas in Computational and Ambient Intelligence (2007)

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    Book and Conference Proceedings

    Computational Intelligence and Bioinspired Systems

    8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005. Proceedings

    Joan Cabestany, Alberto Prieto in Lecture Notes in Computer Science (2005)

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    Chapter and Conference Paper

    TaSe Model for Long Term Time Series Forecasting

    There exists a wide range of paradigms and a high number of different methodologies applied to the problem of Time Series Prediction. Most of them are presented as a modified function approximation problem usi...

    Luis Javier Herrera, Héctor Pomares in Computational Intelligence and Bioinspired… (2005)

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    Chapter and Conference Paper

    Spiking Neurons Computing Platform

    A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is adopted that uses both software and hardware components. We focus on conductanc...

    Eduardo Ros, Eva M. Ortigosa, Rodrigo Agís in Computational Intelligence and Bioinspired… (2005)

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    Chapter and Conference Paper

    Input Variable Selection in Hierarchical RBF Networks

    In this paper we propose a new technique focused on the search of new architectures for modelling complex systems in function approximation problems, in order to avoid the exponential increase in the complexit...

    Mohammed Awad, Héctor Pomares, Ignacio Rojas in Computational Intelligence and Bioinspired… (2005)

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    Chapter and Conference Paper

    SSA, SVD, QR-cp, and RBF Model Reduction

    We propose an application of SVD model reduction to the class of RBF neural models for improving performance in contexts such as on-line prediction of time series. The SVD is coupled with QR-cp factorization. ...

    Moisés Salmerón, Julio Ortega in Artificial Neural Networks — ICANN 2002 (2002)

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    Chapter and Conference Paper

    Evolutionary Training of Neuro-fuzzy Patches for Function Approximation

    This paper describes how the fundamental principles of GAs can be hybridized with classical optimization techniques for the design of an evolutive algorithm for neuro-fuzzy systems. The proposed algorithm pres...

    Jésus González, Ignacio Rojas, Hector Pomares in Artificial Neural Networks — ICANN 2002 (2002)

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    Chapter and Conference Paper

    A low-power analog implementation of Cellular Neural Networks

    Low-power CMOS analog circuits to implement programmable Cellular Neural Networks (CNN) are proposed, which are based on sub-threshold and bipolar operated MOS transistors. The circuits implementing CNN cells ...

    Mancia Anguita, Francisco J. Pelayo in From Natural to Artificial Neural Computat… (1995)

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    Book and Conference Proceedings

    New Trends in Neural Computation

    International Workshop on Artificial Neural Networks, IWANN '93 Sitges, Spain, June 9–11, 1993 Proceedings

    José Mira, Joan Cabestany, Alberto Prieto in Lecture Notes in Computer Science (1993)

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    Book and Conference Proceedings

    Artificial Neural Networks

    International Workshop IWANN '91 Granada, Spain, September 17–19, 1991 Proceedings

    Alberto Prieto in Lecture Notes in Computer Science (1991)