Dimitrios Gerontitis

Varying-parameter finite-time zeroing neural network for solving linear algebraic systems

Vasilios N. Katsikis, Predrag S. Stanimirović, Lazaros Moysis, 2020 .

Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse

Predrag S. Stanimirovic, Marko D. Petkovic, Dimitrios Gerontitis, 2017, Neural Processing Letters.

Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses

Predrag S. Stanimirovic, Igor Stojanovic, Miroslav Ciric, 2017, Complex..

A New Varying-Parameter Design Formula for Solving Time-Varying Problems

Predrag S. Stanimirovic, Vasilios N. Katsikis, Dimitrios Gerontitis, 2020, Neural Processing Letters.

A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application

Ratikanta Behera, Dimitrios Gerontitis, Panagiotis Tzekis, 2022, J. Comput. Appl. Math..

Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network

Predrag S. Stanimirovic, Dimitrios Gerontitis, Changxin Mo, 2021, Neurocomputing.

Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion

Predrag S. Stanimirovic, Jajati Keshari Sahoo, Ratikanta Behera, 2021, Math. Comput. Simul..

ZNN models for computing matrix inverse based on hyperpower iterative methods

Igor Stojanovic, Dimitrios Gerontitis, Xue-Zhong Wang, 2017 .