Modelos neuronales competitivos: Kohonen & ART

Pedro Isasi Viñuela
Redes de neuronas artificiales y algoritmos genéticos, 1996, ISBN 84-88301-33-2, págs. 141-177 141 -177

1996
Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function.

José M Valls , Inés M Galván , Pedro Isasi
Computing and Informatics \/ Computers and Artificial Intelligence 25 1 -15

4
2006
Incorporating temporary and transverse information to the forecast of stock performance during initial public offerings

Pedro Isasi Viñuela , David Quintana Montero
Estudios Gerenciales 23 ( 103) 85 -96

2007
Finding Efficient Nonlinear Functions by Means of Genetic Programming

Julio César Hernández Castro , Pedro Isasi Viñuela , Cristóbal Luque del Arco-Calderón
international conference on knowledge-based and intelligent information and engineering systems 1192 -1198

2
2003
INTEGRANDO INFORMACIÓN DE CARÁCTER TEMPORAL Y TRANSVERSAL EN LA PREDICCIÓN DEL RENDIMIENTO INICIAL DE LAS SALIDAS A BOLSA

David Quintana Montero , Pedro Isasi Viñuela
Estudios Gerenciales 23 ( 103) 85 -96

2007
2001
Optimization techniques for solving complex problems

Enrique Alba , Christian Blum , Pedro Asasi , Coromoto Leon
John Wiley & Sons 76

69
2009
A selective learning method to improve the generalization of multilayer feedforward neural networks.

I. M. GALVÁN , P. ISASI , R. ALER , J. M. VALLS
International Journal of Neural Systems 11 ( 2) 167 -177

11
2001
Unsupervised neural network for forecasting alarms in hydroelectric power plant

P Isasi-Vifiuela , JM Molina , A Sanchis de Miguel ,
Project supported by CDTI (belonging to Spanish Industry Ministery) and EEC (European Economic Community)

2
1997
Expert System-Neural Network: A Hybrid System for Predictive Control

JM Molina-López , P Isasi-Viñuela , A Sanchis de Miguel
Computational Intelligence and Applications, Physica-Verlag Heidelberg

1
1999
Genetic and evolutionary algorithms

PEDRO ISASI VIÑUELA
UC3M

2018
How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks.

José María Valls , Inés María Galván , Pedro Isasi ,
Applied Informatics 275 -280

1
2003
Automatic finding of good classifiers following a biologically inspired metaphor

Fernando Fernandez , Pedro Isasi
Computing and Informatics \/ Computers and Artificial Intelligence 21 ( 3) 205 -220

5
2002
Predicting IPO Underpricing with Genetic Algorithms

Cristóbal Luque , David Quintana , Pedro Isasi
International journal of artificial intelligence 8 133 -146

2012
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach

Daniel Borrajo , Ricardo Aler , Pedro Isasi
international conference on machine learning 10 -18

15
1998
A computational model of evolution: Haploidy versus diploidy

Pedro Isasi , María Araceli Sanchis de Miguel , José Manuel Molina López , Antonio Berlanga de Jesús
Computing and Informatics \/ Computers and Artificial Intelligence 18 ( 6) 575 -594

1999
Knowledge Representation Issues in Control Knowledge Learning

Daniel Borrajo , Ricardo Aler , Pedro Isasi
international conference on machine learning 1 -8

7
2000
Schemata bandits for binary encoded combinatorial optimisation problems

Bernard Manderick , Mǎdǎlina M.M. Drugan , Pedro Isasi
Lecture Notes in Computer Science 8886 299 -310

4
2014
LRBNN: A Lazy Radial Basis Neural Network model

Inés M. Galván , Pedro Isasi , José M. Valls
Ai Communications 20 ( 2) 71 -86

6
2007