Alberto Prieto
Alberto Prieto
Emeritus Professor de Aquitectura de Computadores (UGR)
Verified email at - Homepage
Cited by
Cited by
Neural networks: An overview of early research, current frameworks and new challenges
A Prieto, B Prieto, EM Ortigosa, E Ros, F Pelayo, J Ortega, I Rojas
Neurocomputing 214, 242-268, 2016
Introducción a la informática
A Prieto, A Lloris, JC Torres
e-libro, Corp., 2006
Introducción a la Informática
A Prieto, A Lloris, JC Torres
McGraw-Hill, 1989
Organización y arquitectura de computadores, 7th Edt.
W Stallings, A Prieto, A Cañas, B Prieto, FJ Pelayo, J Ortega
PEARSON EDUCACIÓN, S.A., Madrid, 2005. Translators: Prieto, Alberto; Cañas …, 2006
G-Prop: Global optimization of multilayer perceptrons using GAs
PA Castillo, JJ Merelo, A Prieto, V Rivas, G Romero
Neurocomputing 35 (1-4), 149-163, 2000
Self-organized fuzzy system generation from training examples
I Rojas, H Pomares, J Ortega, A Prieto
IEEE transactions on fuzzy systems 8 (1), 23-36, 2000
Time series analysis using normalized PG-RBF network with regression weights
I Rojas, H Pomares, JL Bernier, J Ortega, B Pino, FJ Pelayo, A Prieto
Neurocomputing 42 (1-4), 267-285, 2002
A new clustering technique for function approximation
J González, H Rojas, J Ortega, A Prieto
IEEE Transactions on Neural Networks 13 (1), 132-142, 2002
Daily living activity recognition based on statistical feature quality group selection
O Banos, M Damas, H Pomares, A Prieto, I Rojas
Expert Systems with Applications 39 (9), 8013-8021, 2012
Proteinotopic feature maps
JJ Merelo, MA Andrade, A Prieto, F Morán
Neurocomputing 6 (4), 443-454, 1994
A systematic approach to a self-generating fuzzy rule-table for function approximation
H Pomares, I Rojas, J Ortega, J Gonzalez, A Prieto
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 30 …, 2000
New Trends in Neural Computation,
J Mira, J Cabestany, A Prieto
International Workshop on Artificial Neural Networks, IWANN '93, Sitges …, 1993
Recursive prediction for long term time series forecasting using advanced models
LJ Herrera, H Pomares, I Rojas, A Guillén, A Prieto, O Valenzuela
Neurocomputing 70 (16-18), 2870-2880, 2007
Evolving multilayer perceptrons
PA Castillo, J Carpio, JJ Merelo, A Prieto, V Rivas, G Romero
Neural Processing Letters 12, 115-128, 2000
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
LJ Herrera, H Pomares, I Rojas, O Valenzuela, A Prieto
Fuzzy sets and systems 153 (3), 403-427, 2005
Separation of sources: A geometry-based procedure for reconstruction of n-valued signals
CG Puntonet, A Prieto, C Jutten, M Rodriguez-Alvarez, J Ortega
Signal Processing 46 (3), 267-284, 1995
Structure identification in complete rule-based fuzzy systems
H Pomares, I Rojas, J González, A Prieto
IEEE transactions on fuzzy systems 10 (3), 349-359, 2002
Statistical analysis of the parameters of a neuro-genetic algorithm
PA Castillo-Valdivieso, JJ Merelo, A Prieto, I Rojas, G Romero
IEEE Transactions on Neural Networks 13 (6), 1374-1394, 2002
Neural net approach for blind separation of sources based on geometric properties
CG Puntonet, A Prieto
Neurocomputing 18 (1-3), 141-164, 1998
A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs
JL Bernier, J Ortega, E Ros, I Rojas, A Prieto
Neural Computation 12 (12), 2941-2964, 2000
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