Computational and Ambient Intelligence
9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007. Proceedings
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Alberto Prieto
Algorithm Analysis and Problem Complexity
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Book and Conference Proceedings
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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 ...
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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 ...
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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...
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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...
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Chapter and Conference Paper
A Canonical Genetic Algorithm for Blind Inversion of Linear Channels
It is well known the relationship between source separation and blind deconvolution: If a filtered version of an unknown i.i.d. signal is observed, temporal independence between samples can be used to retrieve...
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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
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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...
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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...
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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...
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Book and Conference Proceedings
Independent Component Analysis and Blind Signal Separation
Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004. Proceedings
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Chapter and Conference Paper
Performance of Message-Passing MATLAB Toolboxes
In this work we compare some of the freely available parallel Toolboxes for MATLAB, which differ in purpose and implementation details: while DP-Toolbox and MultiMATLAB offer a higher-level parallel environment, ...
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Book and Conference Proceedings
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part 1
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Book and Conference Proceedings
Bio-Inspired Applications of Connectionism
6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001 Proceedings, Part II
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Chapter and Conference Paper
Analyzing Boltzmann Machine Parameters for Fast Convergence
The behavior of a Boltzmann Machine (BM) according to changes in the parameters that determine its convergence is experimentally analyzed to find a way to accelerate the convergence towards a solution for the ...
