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Article cité :

The Target Switch Algorithm: A Constructive Learning Procedure for Feed-Forward Neural Networks

Colin Campbell and C. Perez Vicente
Neural Computation 7 (6) 1245 (1995)
https://doi.org/10.1162/neco.1995.7.6.1245

Maximizing the robustness of a linear threshold classifier with discrete weights

Eddy Mayoraz and Vincent Robert
Network: Computation in Neural Systems 5 (2) 299 (1994)
https://doi.org/10.1088/0954-898X/5/2/011

Maximizing the robustness of a linear threshold classifier with discrete weights

Eddy Mayoraz and Vincent Robert
Network: Computation in Neural Systems 5 (2) 299 (1994)
https://doi.org/10.1088/0954-898X_5_2_011

Computational complexity, learning rules and storage capacities: A Monte Carlo study for the binary perceptron

H. -K. Patel
Zeitschrift f�r Physik B Condensed Matter 91 (2) 257 (1993)
https://doi.org/10.1007/BF01315244

An introduction to population approaches for optimization and hierarchical objective functions: A discussion on the role of tabu search

Pablo Moscato
Annals of Operations Research 41 (2) 85 (1993)
https://doi.org/10.1007/BF02022564

Study of a learning algorithm for neural networks with discrete synaptic couplings

C J Pérez Vicente, J Carrabina and E Valderrama
Network: Computation in Neural Systems 3 (2) 165 (1992)
https://doi.org/10.1088/0954-898X_3_2_005

Study of a learning algorithm for neural networks with discrete synaptic couplings

C Vicente, J Carrabina and E Valderrama
Network: Computation in Neural Systems 3 (2) 165 (1992)
https://doi.org/10.1088/0954-898X/3/2/005

Artificial Neural Networks

C. J. Pérez Vicente, J. Carrabina, F. Garrido and E. Valderrama
Lecture Notes in Computer Science, Artificial Neural Networks 540 144 (1991)
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Finite-state neural networks. A step toward the simulation of very large systems

G. A. Kohring
Journal of Statistical Physics 62 (3-4) 563 (1991)
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