| Effective backpropagation training with variable stepsize GD Magoulas, MN Vrahatis, GS Androulakis Neural networks 10 (1), 69-82, 1997 | 265 | 1997 |
| Improving the convergence of the backpropagation algorithm using learning rate adaptation methods GD Magoulas, MN Vrahatis, GS Androulakis Neural Computation 11 (7), 1769-1796, 1999 | 166 | 1999 |
| A class of gradient unconstrained minimization algorithms with adaptive stepsize MN Vrahatis, GS Androulakis, JN Lambrinos, GD Magoulas Journal of Computational and Applied Mathematics 114 (2), 367-386, 2000 | 130 | 2000 |
| On the alleviation of the problem of local minima in back-propagation GD Magoulas, MN Vrahatis, GS Androulakis Nonlinear Analysis 30 (7), 4545-4550, 1997 | 63 | 1997 |
| A new unconstrained optimization method for imprecise function and gradient values MN Vrahatis, GS Androulakis, GE Manoussakis Journal of Mathematical Analysis and Applications 197 (2), 586-607, 1996 | 59 | 1996 |
| OPTAC: A portable software package for analyzing and comparing optimization methods by visualization GS Androulakis, MN Vrahatis Journal of Computational and Applied Mathematics 72 (1), 41-62, 1996 | 31 | 1996 |
| Neural network supervised training based on a dimension reducing method GD Magoulas, MN Vrahatis, TN Grapsa, GS Androulakis Mathematics of Neural Networks, 245-249, 1997 | 22 | 1997 |
| A training method for discrete multilayer neural networks GD Magoulas, MN Vrahatis, TN Grapsa, GS Androulakis Mathematics of Neural Networks, 250-254, 1997 | 17 | 1997 |
| Geometry of learning: Visualizing the performance of neural network supervised training methods GS Androulakis, GD Magoulas, MN Vrahatis Nonlinear Analysis 30 (7), 4539-4544, 1997 | 14 | 1997 |
| A new method in neural network supervised training with imprecision GD Magoulas, MN Vrahatis, GS Androulakis Electronics, Circuits, and Systems, 1996. ICECS'96., Proceedings of the …, 1996 | 9 | 1996 |
| On the prediction of time series’ local optima: a backtrack technique GS Androulakis, EG Lisgara Organization of the Conference, 19, 2007 | 7 | 2007 |
| A lexicographic approach on unconstrained optimization CD Nikolakakou, TN Grapsa, IA Nikas, GS Androulakis Book of Abstracts of the 23rd European Conference on Operational Research, 90, 2009 | 6 | 2009 |
| Estimating time series future optima using a steepest descent methodology as a backtracker EG Lisgara, GS Androulakis Computer Science and Information Technology, 2008. IMCSIT 2008 …, 2008 | 6 | 2008 |
| A framework for the development of globally convergent adaptive learning rate algorithms GD Magoulas, VP Plagianakos, GS Androulakis, MN Vrahatis International Journal of Computer Research 10 (1), 1-10, 2001 | 5 | 2001 |
| An applied methodology for the prediction of time series’ local optima EG Lisgara, GS Androulakis CD of Proceedings of the 8th Hellenic European Research on Computer …, 2007 | 4 | 2007 |
| Studying the performance of optimization methods by visualization GS Androulakis, MN Vrahatis, TN Grapsa Systems Analysis Modelling Simulation 25 (1), 21-42, 1996 | 4 | 1996 |
| A sequential approach for unconstrained optimization via a partitioning technique CD Nikolakakou, TN Grapsa, IA Nikas, GS Androulakis International Journal of Computer Mathematics 92 (4), 722-741, 2015 | 3 | 2015 |
| Advancing the backtrack optimization technique to obtain forecasts of potential crisis periods EG Lisgara, GI Karolidis, GS Androulakis Applied Mathematics 3 (10), 1538, 2012 | 3 | 2012 |
| Towards forecasting a time varying beta series by backtracking GS Androulakis, EG Lisgara Proceedings of the International Conference on Applied Economics (ICOAE …, 2009 | 3 | 2009 |
| A new nonmonotone Newton’s modification for unconstrained optimization AE Kostopoulos, GS Androulakis, TN Grapsa Tech. Rep. 09-05, Department of Mathematics, 2009 | 3 | 2009 |
Michael N. Vrahatis (Greek: Μιχαήλ Ν...Professor, Department of Mathematics, University of Patras, GreeceVerified email at math.upatras.gr