Alex Alexandridis
Alex Alexandridis
Professor, Department of Electrical and Electronic Engineering, University of West Attica
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα teiath.gr
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Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing
P Doganis, A Alexandridis, P Patrinos, H Sarimveis
Journal of Food Engineering 75 (2), 196-204, 2006
2212006
A cellular automata model for forest fire spread prediction: The case of the wildfire that swept through Spetses Island in 1990
A Alexandridis, D Vakalis, CI Siettos, GV Bafas
Applied Mathematics and Computation 204 (1), 191-201, 2008
1702008
A new algorithm for online structure and parameter adaptation of RBF networks
A Alexandridis, H Sarimveis, G Bafas
Neural Networks 16 (7), 1003-1017, 2003
1292003
A fast and efficient algorithm for training radial basis function neural networks based on a fuzzy partition of the input space
H Sarimveis, A Alexandridis, G Tsekouras, G Bafas
Industrial & engineering chemistry research 41 (4), 751-759, 2002
1242002
A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms
H Sarimveis, A Alexandridis, S Mazarakis, G Bafas
Computers & chemical engineering 28 (1-2), 209-217, 2004
1112004
Prediction of high weight polymers glass transition temperature using RBF neural networks
A Afantitis, G Melagraki, K Makridima, A Alexandridis, H Sarimveis, ...
Journal of molecular structure: THEOCHEM 716 (1-3), 193-198, 2005
1012005
A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation
D Vakalis, H Sarimveis, C Kiranoudis, A Alexandridis, G Bafas
Applied Mathematical Modelling 28 (4), 389-410, 2004
972004
Radial basis function network training using a nonsymmetric partition of the input space and particle swarm optimization
A Alexandridis, E Chondrodima, H Sarimveis
IEEE transactions on neural networks and learning systems 24 (2), 219-230, 2012
962012
A fast training algorithm for RBF networks based on subtractive clustering
H Sarimveis, A Alexandridis, G Bafas
Neurocomputing 51, 501-505, 2003
962003
A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
A Alexandridis, P Patrinos, H Sarimveis, G Tsekouras
Chemometrics and Intelligent Laboratory Systems 75 (2), 149-162, 2005
882005
Discussion on:“Power Flow Control of a Doubly-Fed Induction Machine Coupled to a Flywheel”
A Alexandridis, L Russo, CI Siettos
European Journal of Control 11 (3), 222-224, 2005
86*2005
A classification technique based on radial basis function neural networks
H Sarimveis, P Doganis, A Alexandridis
Advances in Engineering Software 37 (4), 218-221, 2006
832006
A neural network approach for the correlation of exhaust emissions from a diesel engine with diesel fuel properties
D Karonis, E Lois, F Zannikos, A Alexandridis, H Sarimveis
Energy & fuels 17 (5), 1259-1265, 2003
692003
Evolving RBF neural networks for adaptive soft-sensor design
A Alexandridis
International journal of neural systems 23 (06), 1350029, 2013
552013
A GIS based operational system for wildland fire crisis management II. System architecture and case studies
D Vakalis, H Sarimveis, CT Kiranoudis, A Alexandridis, G Bafas
Applied Mathematical Modelling 28 (4), 411-425, 2004
522004
A neural network approach to the prediction of diesel fuel lubricity
DM Korres, G Anastopoulos, E Lois, A Alexandridis, H Sarimveis, G Bafas
Fuel 81 (10), 1243-1250, 2002
502002
Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics
A Alexandridis, L Russo, D Vakalis, GV Bafas, CI Siettos
International Journal of Wildland Fire 20 (5), 633-647, 2011
492011
Cooperative learning for radial basis function networks using particle swarm optimization
A Alexandridis, E Chondrodima, H Sarimveis
Applied Soft Computing 49, 485-497, 2016
472016
Nonlinear adaptive model predictive control based on self‐correcting neural network models
A Alexandridis, H Sarimveis
AIChE Journal 51 (9), 2495-2506, 2005
462005
A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals
A Alexandridis, D Triantis, I Stavrakas, C Stergiopoulos
Construction and Building Materials 30, 294-300, 2012
432012
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