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
Verified email at dmu.ac.uk - Homepage
Cited by
Cited by
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
The linear separability problem: Some testing methods
D Elizondo
IEEE Transactions on neural networks 17 (2), 330-344, 2006
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
Development of an RDP neural network for building energy consumption fault detection and diagnosis
F Magoulčs, H Zhao, D Elizondo
Energy and Buildings 62, 133-138, 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
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 survey of partially connected neural networks
D Elizondo, E Fiesler
International journal of neural systems 8 (05n06), 535-558, 1997
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 Jesus, A Weber, M Grootveld, ...
Information Sciences 298, 180-197, 2015
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
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
Constructive neural networks
L Franco, JM Jerez
Springer, 2009
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
Use of Bayesian inference method to model vehicular air pollution in local urban areas
A Orun, D Elizondo, E Goodyer, D Paluszczyszyn
Transportation Research Part D: Transport and Environment 63, 236-243, 2018
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