Alberto Prieto
Alberto Prieto
Emeritus Professor de Aquitectura de Computadores (UGR)
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Sistemas operativos
AS Tanenbaum, JCV Fogoaga
Prentice Hall, 1988
New Trends in Neural Computation,
AP José Mira, Joan Cabestany
International Workshop on Artificial Neural Networks, IWANN '93, Sitges …, 1993
Alzheimer˘s diagnosis using eigenbrains and support vector machines
I Alvarez, JM Górriz, J Ramírez, D Salas-Gonzalez, M López, F Segovia, ...
International Work-Conference on Artificial Neural Networks, 973-980, 2009
Evolving multilayer perceptrons
PA Castillo, J Carpio, JJ Merelo, A Prieto, V Rivas, G Romero
Neural Processing Letters 12 (2), 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
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
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
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