Dimitrios Gerontitis

24 papers C 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
New Recurrent Neural Network for Different-Level Sylvester Matrix Equation System: A Direct Discrete Architecture Perspective.
IEEE Trans. Emerg. Top. Comput. Intell.
Hongyuan Zhang, Jiyun Wang, Xinwei Cao, Dimitrios Gerontitis, Yang Shi
2026 J jnl
Novel RNN and Its Enhanced Variant Based on Direct Discretization Approach for Discrete-Form Time-Dependent Quadratic Programming.
IEEE Trans Autom. Sci. Eng.
Yang Shi, Weijie Su, Xinwei Cao, Mei Liu, Jiyun Wang, Dimitrios Gerontitis
2025 C conf
A General One-Parameter Discrete-Time Recurrent Neural Network for Solving Discrete-Form Time-Varying Augmented Sylvester Matrix Equation.
ISNN
Yueyang Ma, Weijie Su, Jian Li, Dimitrios Gerontitis, Yang Shi, Jiyun Wang
2025 J jnl
A New Double-Integration-Enhanced RNN Algorithm for Discrete Time-Variant Equation Systems With Robot Manipulator Applications.
IEEE Trans Autom. Sci. Eng.
Yang Shi, Wei Chong, Xinwei Cao, Chao Jiang, Ruxin Zhao, Dimitrios Gerontitis
2025 J jnl
A zeroing neural dynamics algorithm for discrete-time nonlinear optimization with linear equality constraint and perturbation inhibition.
Neurocomputing
Chao Jiang, Jiacheng Wang, Ruxin Zhao, Dimitrios Gerontitis, Yang Shi
2024 — conf
A Discrete Time-Varying Zeroing Neural Dynamics for Solving Equality Constrained Optimization.
ICIRA (3)
Jie Zhou, Qiaowen Shi, Ruicong Wang, Chao Mou, Dimitrios Gerontitis, Yang Shi
2024 J jnl
Application of Gradient Optimization Methods in Defining Neural Dynamics.
Axioms
Predrag S. Stanimirovic, Natasa Tesic, Dimitrios Gerontitis, Gradimir V. Milovanovic, Milena J. Petrovic, Vladimir L. Kazakovtsev, Vladislav Stasiuk
2024 J jnl
Improved zeroing neural models based on two novel activation functions with exponential behavior.
Theor. Comput. Sci.
Dimitrios Gerontitis, Changxin Mo, Predrag S. Stanimirovic, Vasilios N. Katsikis
2024 — conf
Solving Different Numerical Linear Algebra Problems with a New General Fast Neurodynamics.
ICACI
Dimitrios Gerontitis, Panagiotis Tzekis, Yang Shi
2023 J jnl
A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators.
Neural Networks
Yang Shi, Wangrong Sheng, Shuai Li, Bin Li, Xiaobing Sun, Dimitrios Gerontitis
2023 J jnl
A novel extended Li zeroing neural network for matrix inversion.
Neural Comput. Appl.
Dimitrios Gerontitis, Changxin Mo, Predrag S. Stanimirovic, Panagiotis Tzekis, Vasilios N. Katsikis
2023 J jnl
An advanced discrete-time RNN for handling discrete time-varying matrix inversion: Form model design to disturbance-suppression analysis.
CAAI Trans. Intell. Technol.
Yang Shi, Qiaowen Shi, Xinwei Cao, Bin Li, Xiaobing Sun, Dimitrios Gerontitis
2023 J jnl
An efficient zeroing neural network for solving time-varying nonlinear equations.
Neural Comput. Appl.
Ratikanta Behera, Dimitrios Gerontitis, Predrag S. Stanimirovic, Vasilios N. Katsikis, Yang Shi, Xinwei Cao
2023 J jnl
Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving.
Neural Process. Lett.
Weijie Chen, Jie Jin, Dimitrios Gerontitis, Lixin Qiu, Jingcan Zhu
2022 J jnl
A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application.
J. Comput. Appl. Math.
Dimitrios Gerontitis, Ratikanta Behera, Panagiotis Tzekis, Predrag S. Stanimirovic
2022 J jnl
A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization.
Inf. Sci.
Theodore E. Simos, Vasilios N. Katsikis, Spyridon D. Mourtas, Predrag S. Stanimirovic, Dimitrios Gerontitis
2022 J jnl
A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations.
Neurocomputing
Dimitrios Gerontitis, Ratikanta Behera, Yang Shi, Predrag S. Stanimirovic
2022 J jnl
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application.
IEEE Trans. Neural Networks Learn. Syst.
Yang Shi, Long Jin, Shuai Li, Jian Li, Jipeng Qiang, Dimitrios Gerontitis
2021 J jnl
A New Varying-Parameter Design Formula for Solving Time-Varying Problems.
Neural Process. Lett.
Predrag S. Stanimirovic, Vasilios N. Katsikis, Dimitrios Gerontitis
2021 J jnl
Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion.
Math. Comput. Simul.
Predrag S. Stanimirovic, Dimitrios Gerontitis, Panagiotis Tzekis, Ratikanta Behera, Jajati Keshari Sahoo
2021 — conf
Solving discrete time-varying complex division using recurrent neural network with disturbance suppression.
ICAC
Yang Shi, Wenhan Zhao, Jie Wang, Jian Li, Dimitrios Gerontitis
2021 J jnl
Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network.
Neurocomputing
Changxin Mo, Dimitrios Gerontitis, Predrag S. Stanimirovic
2018 J jnl
Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse.
Neural Process. Lett.
Predrag S. Stanimirovic, Marko D. Petkovic, Dimitrios Gerontitis
2017 J jnl
Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses.
Complex.
Predrag S. Stanimirovic, Miroslav Ciric, Igor Stojanovic, Dimitrios Gerontitis