M. Damas, H. Pomares, J. A. Tarifa, G. Jiménez Mesa
In certain university subjects related to Industrial Computing, there are some lab experiments that require very expensive material which also take up very much room, thus rendering its replication...
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
M. Damas, M. Salmerón, J. Ortega, G. Olivares, H. Pomares
Parallel dynamic water supply scheduling in a cluster of computers
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...
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...
I. Rojas, H. Pomares, J. Gonzalez, L. J. Herrera, A. Guillen, F. Rojas, ...
www.elsevier.com/locate/fss
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...
H. Pomares, I. Rojas, J. Gonzalez, F. Rojas, M. Damas, F. J. Fernandez
two-stage approach to self-learning
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...
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...