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 | 217 | 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 | 169 | 2008 |

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 | 128 | 2003 |

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 | 123 | 2002 |

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 | 111 | 2004 |

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 | 100 | 2005 |

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 | 97 | 2004 |

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 | 95 | 2012 |

A fast training algorithm for RBF networks based on subtractive clustering H Sarimveis, A Alexandridis, G Bafas Neurocomputing 51, 501-505, 2003 | 95 | 2003 |

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 | 88 | 2005 |

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 | 83 | 2006 |

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 | 68 | 2003 |

Evolving RBF neural networks for adaptive soft-sensor design A Alexandridis International journal of neural systems 23 (06), 1350029, 2013 | 55 | 2013 |

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 | 52 | 2004 |

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 | 50 | 2002 |

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 | 48 | 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 | 47 | 2016 |

Nonlinear adaptive model predictive control based on self‐correcting neural network models A Alexandridis, H Sarimveis AIChE Journal 51 (9), 2495-2506, 2005 | 46 | 2005 |

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 | 43 | 2012 |