David Elizondo, D. Elizondo, D. A. Elizondo, David A. Elizondo
David Elizondo, D. Elizondo, D. A. Elizondo, David A. Elizondo
De Montfort University, University of Georgia, Universite Louis Pasteur
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Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
E Alfaro, N García, M Gámez, D Elizondo
Decision Support Systems 45 (1), 110-122, 2008
Development of a neural network model to predict daily solar radiation
D Elizondo, G Hoogenboom, RW McClendon
Agricultural and Forest Meteorology 71 (1-2), 115-132, 1994
Neural network models for predicting flowering and physiological maturity of soybean
DA Elizondo, RW McClendon, G Hoogenboom
Transactions of the ASAE 37 (3), 981-988, 1994
The linear separability problem: Some testing methods
D Elizondo
IEEE Transactions on neural networks 17 (2), 330-344, 2006
Development of an RDP neural network for building energy consumption fault detection and diagnosis
F Magoulès, H Zhao, D Elizondo
Energy and Buildings 62, 133-138, 2013
Assessment of geometric features for individual identification and verification in biometric hand systems
RM Luque-Baena, D Elizondo, E López-Rubio, EJ Palomo, T Watson
Expert systems with applications 40 (9), 3580-3594, 2013
A renewed approach to serious games for cyber security
A Le Compte, D Elizondo, T Watson
2015 7th International Conference on Cyber Conflict: Architectures in …, 2015
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans
CJ Carmona, V Ruiz-Rodado, MJ del Jesús, A Weber, M Grootveld, ...
Information Sciences 298, 180-197, 2015
A survey of partially connected neural networks
D Elizondo, E Fiesler
International journal of neural systems 8 (05n06), 535-558, 1997
Application of growing hierarchical SOM for visualisation of network forensics traffic data
EJ Palomo, J North, D Elizondo, RM Luque, T Watson
Neural Networks 32, 275-284, 2012
Authentication of individuals using hand geometry biometrics: A neural network approach
M Faundez-Zanuy, DA Elizondo, MÁ Ferrer-Ballester, ...
Neural Processing Letters 26 (3), 201-216, 2007
Application of artificial neural networks and related techniques to intrusion detection
C Bitter, DA Elizondo, T Watson
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
Constructive neural networks
L Franco, JM Jerez
Springer, 2009
Automatic versus manual model differentiation to compute sensitivities and solve non-linear inverse problems
D Elizondo, B Cappelaere, C Faure
Computers & geosciences 28 (3), 309-326, 2002
The recursive deterministic perceptron neural network
M Tajine, D Elizondo
Neural Networks 11 (9), 1571-1588, 1998
Multilayer perceptron applied to the estimation of the influence of the solar spectral distribution on thin-film photovoltaic modules
M Piliougine, D Elizondo, L Mora-López, M Sidrach-de-Cardona
Applied energy 112, 610-617, 2013
Constructive neural network algorithms for feedforward architectures suitable for classification tasks
M do Carmo Nicoletti, JR Bertini, D Elizondo, L Franco, JM Jerez
Constructive neural networks, 1-23, 2009
Modelling photovoltaic modules with neural networks using angle of incidence and clearness index
M Piliougine, D Elizondo, L Mora‐López, M Sidrach‐de‐Cardona
Progress in Photovoltaics: Research and Applications 23 (4), 513-523, 2015
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks
DA Elizondo, R Birkenhead, M Góngora, E Taillard, P Luyima
Neural Networks 20 (10), 1095-1108, 2007
Searching for linearly separable subsets using the class of linear separability method
D Elizondo
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
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