J. L. Bernier, J. Ortega, E. Ros, I. Rojas, A. Prieto
An analysis of the in�uence of weight and input perturbations in a multilayer perceptron (MLP) is made in this article. Quantitative measurements of fault tolerance, noise immunity, and...
Printed in Spain USING THE SONY PLAYSTATION2 TO LEARN COMPUTER ARCHITECTURE (2008)
J. Mesa González, Junta De Extremadura, R. García, J. M. Palomares, J. González, ...
m-ICTE2003 www.formatex.org/micte2003/micte2003.htm
A First Approach to Birth Weight Prediction Using RBFNNs (2008)
A. Guillén, I. Rojas, J. González, H. Pomares, L. J. Herrera
Abstract. This paper presents a first approach to try to determine the weight of a newborn using a set of variables determined uniquely by the mother. The proposed model to approximate the weight is...
A. Guillén, I. Rojas, J. González, H. Pomares, L. J. Herrera
Abstract. Nature shows many examples where the specialisation of elements aimed to solve different problems is successful. There are explorer ants, worker bees, etc., where a group of individuals is...
L. J. Herrera, H. Pomares, I. Rojas, O. Valenzuela, J. González, M. Awad
Abstract. This work introduces a modified Grid Based Fuzzy System architecture, which is especially suited for the problem of time series prediction. This new architecture overcomes the problem...
A Stochastic and Competitive Network for the Separation of Sources (2008)
C. G. Puntonet, A. Mansour, M. R. Alvarez, B. Prieto, I. Rojas
This paper presents an adaptive procedure for the linear and non-linear separation of Abstract. with non-uniform, symmetrical probability distributions, based on both simulated annealing signals...
O. Valenzuela, I. Rojas, F. Rojas, L. Marquez
Abstract-Recent advances in multimedia and image processing techniques can be utilized to assist pathologists in this respect. In fact, many investigators believe that automation of prostate cancer...
The synergy between multideme genetic algorithms and fuzzy systems (2008)
I. Rojas, J. L. Bernier, E. Ros, F. J. Rojas, C. G. Puntonet
In this article, a real-coded genetic algorithm (GA) is proposed capable of simultaneously optimizing the structure of a system (number of inputs, membership functions and rules) and tuning the...
Effective Input Variable Selection for Function Approximation (2008)
L. J. Herrera, H. Pomares, I. Rojas, M. Verleysen, A. Guilén
Abstract. Input variable selection is a key preprocess step in any I/O modelling problem. Normally, better generalization performance is obtained when unneeded parameters coming from irrelevant or...
Bandas de energía, origen y consecuencias (2007)
In crystalline material exists energy band gaps where the electrons can move freely, so, these bands are the results of atomic levels superposition that form a crystal. When the individuals’ atoms...
I. Rojas, H. Pomares, J. Gonzalez, L. J. Herrera, A. Guillen, F. Rojas, ...
www.elsevier.com/locate/fss
Web-based visualisation of the transcriptional control network of Escherichia coli (2004)
Sosa,N., Kremling,A., Ratsch,E., Rojas,I.
Transcription is one of the basic processes of gene expression, controlled by a complex network of biochemical reactions. Despite its importance, most work on the visualisation of biochemical...
Web-based visualisation of the transcriptional control network of Escherichia coli (2004)
Sosa, N., Kremling, A., Ratsch, E., Rojas, I.
Transcription is one of the basic processes of gene expression, controlled by a complex network of biochemical reactions. Despite its importance, most work on the visualisation of biochemical...
Lattice ICA for the separation of speech signals (2004)
Alvarez, M., Rojas, F., Lang, E., Rojas, I., Puntonet, C., Salmeron, M.
This work explains a method for blind separation of a linear mixture of sources, through geometrical considerations concerning the scatter plot. This method is applied to a mixture of several sources...
Genetic Algorithms in Parallel Neural Networks (2004)
J. M. G´orriz, C. G. Puntonet, I. Rojas
In this paper we show a Parallel Neural Network (Cross-over Prediction Model) for time series forecasting implemented in PVM (”Parallel Virtual Machine”) and MPI (”Message Passing...
Bernardi, L., Rojas, I., Van Der Vet, P.E.
Describes the ESF Programme on Functional Genomics workshop on Ontology for Biology
Time series analysis using normalized PG-RBF network with regression weights (2002)
I. Rojas, H. Pomares, J. L. Bernier, J. Ortega, B. Pino, F. J. Pelayo, ...
This paper proposes a framework for constructing and training a radial basis function (RBF) neural network. For this purpose, a sequential learning algorithm is presented to adapt the structure of...
Meeting the spirit of history (2001)
Kretschmer, U., Coors, V., Spierling, U., Grasbon, D., Schneider, K., Rojas, I., ...
This paper describes a research and development project for a novel technology, making the conveyance of cultural heritage during a historic sightseeing tour a unique experience. The cornerstones of...
H. Pomares, I. Rojas, J. Gonzalez, F. Rojas, M. Damas, F. J. Fernandez
two-stage approach to self-learning
Nonlinear blind source separation using genetic algorithms (2001)
F. Rojas, I. Rojas, R. M. Clemente, C. G. Puntonet
This article proposes the fusion of two important paradigms, Genetic Algorithms and the Blind Separation of Sources (GABSS). Although the topic of BSS, by means of various techniques, including ICA,...
A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design (2000)
A. Guillén, I. Rojas, J. González, H. Pomares, L. J. Herrera, A. Prieto
Abstract. This paper presents a new approach to the problem of designing Radial Basis Function Neural Networks (RBFNNs) to approximate a given function. The presented algorithm focuses in the first...
Prieto,A.: An accurate measure for multilayer perceptron tolerance to weight deviations (1999)
Jose L. Bernier, J. Ortega, M. M. Rodríguez, I. Rojas, A. Prieto
Abstract. The inherent fault tolerance of artificial neural networks (ANNs) is usually assumed, but several authors have claimed that ANNs are not always fault tolerant and have demonstrated the need...
* Corresponding author. (1998)
J. L. Bernier, J. Ortega, I. Rojas, A. Prieto
Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations
Compositional Construction of SWN models (1995)
In this paper we investigate how a Petri net based formalism can take advantage of the notion of compositional construction of systems borrowed from Stochastic Process Algebras. A set of operators...
RBF CENTERS INITIALIZATION USING FUZZY CLUSTERING TECHNIQUE FOR FUNCTION APPROXIMATION PROBLEMS
Guillén, A., Rojas, I., González, J., Pomares, H., Herrera, L.J.
In this paper, a new algorithm for RBF centers initialization for functional approximation problems is proposed. The design of the algorithm is inspired in previous clustering algorithms but adding...