Finding all roots of 2× 2 nonlinear algebraic systems using back-propagation neural networks A Margaris, K Goulianas Neural Computing and Applications 21 (5), 891-904, 2012 | 16 | 2012 |

Finding all real roots of 3× 3 nonlinear algebraic systems using neural networks K Goulianas, A Margaris, M Adamopoulos Applied Mathematics and Computation 219 (9), 4444-4464, 2013 | 8 | 2013 |

Solving polynomial systems using a fast adaptive back propagation-type neural network algorithm K Goulianas, A Margaris, I Refanidis, K Diamantaras Cambridge University Press, 2018 | 5 | 2018 |

A Back Propagation-Type Neural Network Architecture for Solving the Complete nxn Nonlinear Algebraic System of Equations K Goulianas, A Margaris, I Refanidis, K Diamantaras, T Papadimitriou Scientific Research, Open access, 2016 | 5 | 2016 |

Artificial neural networks and iterative linear algebra methods KG Margaritis, M Adamopoulos, K Goulianas, DJ Evans PARALLEL ALGORITHM AND APPLICATIONS 3 (1-2), 31-44, 1994 | 5 | 1994 |

An adaptive learning rate backpropagation‐type neural network for solving *n* × *n* systems on nonlinear algebraic equationsK Goulianas, A Margaris, I Refanidis, K Diamantaras Mathematical Methods in the Applied Sciences 39 (10), 2602-2616, 2016 | 2 | 2016 |

Structured artificial neural networks for fast batch LMS Algorithms K Goulianas, M Adamopoulos, KG Margaritis NEURAL PARALLEL AND SCIENTIFIC COMPUTATIIONS 5, 549-502, 1997 | 1 | 1997 |

On multi-property set operations using neural networks and systolic arrays KG Margaritis, K Goulianas, M Adamopoulos, KK Tsouros, DJ Evans Neural, Parallel & Scientific Computations 3 (1), 1-13, 1995 | 1 | 1995 |

Neuroevolution Strategy for Time Series Prediction G Naskos, K Goulianas, A Margaris Journal of Applied Mathematics and Physics 8 (06), 1047, 2020 | | 2020 |

Estimating 2‐cycle fixed points of henon map using backpropagation neural networks A Margaris, K Goulianas, K Diamantaras, T Papadimitriou Mathematical Methods in the Applied Sciences 38 (2), 263-273, 2015 | | 2015 |

Analyzing data into quantized components K Diamantaras, T Papadimitriou, K Goulianas 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | | 2014 |

Linear neural network training algorithms for real-world benchmark problems K Goulianas, M Adamopoulos, S Katsavounis, C Fragakis, CC Tsouros International journal of computer mathematics 79 (11), 1149-1167, 2002 | | 2002 |