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Michael N. Vrahatis
Michael N. Vrahatis
Department of Mathematics, University of Patras, Greece
在 upatras.gr 的电子邮件经过验证 - 首页
标题
引用次数
年份
2D universality of period-doubling bifurcations in 3D conservative reversible mappings
S Komineas, MN Vrahatis, T Bountis
Physica A: Statistical Mechanics and its Applications 211 (2-3), 218-233, 1994
31994
A chaos search immune algorithm with its application to neuro-fuzzy controller design
XQ Zuo, YS Fan
Chaos, Solitons & Fractals 30 (1), 94-109, 2006
1032006
A chemical energy approach of avascular tumor growth: Multiscale modeling and qualitative results
P Ampatzoglou, G Dassios, M Hadjinicolaou, HP Kourea, MN Vrahatis
SpringerPlus 4 (660), 1-22, 2015
32015
A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods
GD Magoulas, MN Vrahatis
Neural, Parallel & Scientific Computations 8 (2), 147-168, 2000
72000
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
1692000
A clustering strategy for the key segmentation of musical audio
MA Kaliakatsos-Papakostas, A Floros, MN Vrahatis
Computer Music Journal 37 (1), 52-69, 2013
62013
A convergence-improving iterative method for computing periodic orbits near bifurcation points
MN Vrahatis, T Bountis, N Budinsky
Journal of Computational Physics 88 (1), 1-14, 1990
101990
A data mining approach in the analysis of the weight space of multilayer perceptron solving complex real world tasks
S Adam, DA Karras, MN Vrahatis
Ninth Industrial Conference on Data Mining, 38-52, 2009
2009
A deep dense neural network for bankruptcy prediction
SAN Alexandropoulos, CK Aridas, SB Kotsiantis, MN Vrahatis
Communications in Computer and Information Science 1000, 435-444, 2019
252019
A derivative-free minimization method for noisy functions
VP Plagianakos, MN Vrahatis
Applied Mathematics 14 (Combinatorial and Global Optimization), 283-296, 2002
22002
A dimension-reducing method for solving systems of nonlinear equations in Rn
TN Grapsa, MN Vrahatis
International Journal of Computer Mathematics 32 (3-4), 205-216, 1990
281990
A dimension-reducing method for unconstrained optimization
TN Grapsa, MN Vrahatis
Journal of Computational and Applied Mathematics 66 (1-2), 239-253, 1996
271996
A fast and reliable method for distinguishing regular from chaotic motion in Hamiltonian systems
C Antonopoulos, C Skokos, TC Bountis, MN Vrahatis
Recent Advances in Mechanics and Related Fields, 325-333, 2003
2003
A first study of fuzzy cognitive maps learning using particle swarm optimization
KE Parsopoulos, EI Papageorgiou, PP Groumpos, MN Vrahatis
IEEE Congress on Evolutionary Computation 2, 1440-1447, 2003
2342003
A first study of the neural network approach to the RSA cryptosystem
GC Meletiou, DK Tasoulis, MN Vrahatis
International Conference on Artificial Intelligence and Soft Computing, 483-488, 2002
252002
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
92001
A generalized bisection method for large and imprecise problems
MN Vrahatis
Mathematical Research 90, 186-192, 1996
51996
A globally convergent Jacobi-bisection method for neural network training
AD Anastasiadis, GD Magoulas, MN Vrahatis
International Conference of Computational Methods in Sciences and …, 2019
42019
A method for computing families of periodic orbits based on unconstrained optimization
MN Vrahatis, O Ragos, GS Androulakis
Hamiltonian Systems with Three or More Degrees of Freedom, 642-645, 1999
1999
A model for local convergence analysis of batch-type training algorithms with adaptive learning rates
GD Magoulas, MN Vrahatis
Recent Advances in Circuits and Systems, 321-326, 1998
11998
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