| Novel discrete-time recurrent neural networks handling discrete-form time-variant multi-augmented Sylvester matrix problems and manipulator application Y Shi, L Jin, S Li, J Li, J Qiang, DK Gerontitis IEEE Transactions on Neural Networks and Learning Systems 33 (2), 587-599, 2020 | 51 | 2020 |
| Gradient neural network with nonlinear activation for computing inner inverses and the Drazin inverse PS Stanimirović, MD Petković, D Gerontitis Neural Processing Letters 48 (1), 109-133, 2018 | 38 | 2018 |
| Conditions for existence, representations, and computation of matrix generalized inverses PS Stanimirović, M Ćirić, I Stojanović, D Gerontitis Complexity 2017, 2017 | 34 | 2017 |
| A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application D Gerontitis, R Behera, P Tzekis, P Stanimirović Journal of Computational and Applied Mathematics 403, 113826, 2022 | 22 | 2022 |
| A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization TE Simos, VN Katsikis, SD Mourtas, PS Stanimirović, D Gerontitis Information Sciences 600, 226-238, 2022 | 20 | 2022 |
| Improved finite‐time zeroing neural network for time‐varying division D Gerontitis, R Behera, JK Sahoo, PS Stanimirović Studies in Applied Mathematics 146 (2), 526-549, 2021 | 15 | 2021 |
| ZNN models for computing matrix inverse based on hyperpower iterative methods I Stojanović, PS Stanimirović, IS Živković, D Gerontitis, XZ Wang Filomat 31 (10), 2999-3014, 2017 | 15 | 2017 |
| A new varying-parameter design formula for solving time-varying problems PS Stanimirović, VN Katsikis, D Gerontitis Neural Processing Letters 53 (1), 107-129, 2021 | 14 | 2021 |
| Simulation of varying parameter recurrent neural network with application to matrix inversion P Stanimirović, D Gerontitis, P Tzekis, R Behera, JK Sahoo Mathematics and Computers in Simulation 185, 614-628, 2021 | 13 | 2021 |
| Varying‐parameter finite‐time zeroing neural network for solving linear algebraic systems D Gerontitis, L Moysis, P Stanimirović, VN Katsikis, C Volos Electronics Letters 56 (16), 810-813, 2020 | 13 | 2020 |
| A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations D Gerontitis, R Behera, Y Shi, PS Stanimirović Neurocomputing 508, 254-274, 2022 | 11 | 2022 |
| Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network C Mo, D Gerontitis, PS Stanimirović Neurocomputing 445, 309-325, 2021 | 11 | 2021 |
| Improved recurrent neural networks for text classification and dynamic Sylvester equation solving W Chen, J Jin, D Gerontitis, L Qiu, J Zhu Neural Processing Letters 55 (7), 8755-8784, 2023 | 5 | 2023 |
| An advanced discrete‐time RNN for handling discrete time‐varying matrix inversion: Form model design to disturbance‐suppression analysis Y Shi, Q Shi, X Cao, B Li, X Sun, DK Gerontitis CAAI Transactions on Intelligence Technology 8 (3), 607-621, 2023 | 4 | 2023 |
| A novel extended Li zeroing neural network for matrix inversion D Gerontitis, C Mo, PS Stanimirović, P Tzekis, VN Katsikis Neural Computing and Applications 35 (19), 14129-14152, 2023 | 4 | 2023 |
| Discrete-time recurrent neural network for solving discrete-form time-variant complex division Y Shi, Z Pan, DK Gerontitis, J Li 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS …, 2020 | 2 | 2020 |
| A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators Y Shi, W Sheng, S Li, B Li, X Sun, DK Gerontitis Neural Networks 164, 428-438, 2023 | 1 | 2023 |
| Scattering by an all-dielectric metasurface including a periodic arrangement of arbitrary scatterers DK Gerontitis, NL Tsitsas 2019 IEEE International Conference on Microwaves, Antennas, Communications …, 2019 | 1 | 2019 |
| Accelerated Recurrent Neural Network Dynamics for Time-Varying Lyapunov Equation Solving A Doumanis, D Gerontitis, D Garyfallou 2024 Panhellenic Conference on Electronics & Telecommunications (PACET), 1-4, 2024 | | 2024 |
| Improved zeroing neural models based on two novel activation functions with exponential behavior D Gerontitis, C Mo, PS Stanimirović, VN Katsikis Theoretical Computer Science 986, 114328, 2024 | | 2024 |
