Alex Alexandridis
Alex Alexandridis
Professor, Department of Electrical and Electronic Engineering, University of West Attica
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
Wind turbine power curve modeling using radial basis function neural networks and tabu search
D Karamichailidou, V Kaloutsa, A Alexandridis
Renewable Energy 163, 2137-2152, 2021
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
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
A fast training algorithm for RBF networks based on subtractive clustering
H Sarimveis, A Alexandridis, G Bafas
Neurocomputing 51, 501-505, 2003
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
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
Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications
M Papadimitrakis, N Giamarelos, M Stogiannos, EN Zois, NAI Livanos, ...
Renewable and Sustainable Energy Reviews 145, 111072, 2021
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
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
Cooperative learning for radial basis function networks using particle swarm optimization
A Alexandridis, E Chondrodima, H Sarimveis
Applied Soft Computing 49, 485-497, 2016
Evolving RBF neural networks for adaptive soft-sensor design
A Alexandridis
International journal of neural systems 23 (06), 1350029, 2013
Robot motion control via an EEG-based brain–computer interface by using neural networks and alpha brainwaves
N Korovesis, D Kandris, G Koulouras, A Alexandridis
Electronics 8 (12), 1387, 2019
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
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