Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses. - Predrag S. Stanimirovic; Miroslav Ciric 001; Igor Stojanovic; Dimitrios Gerontitis (Complex., 2017)

Gradient Neural Network with Nonlinear Activation for Computing Inner Inverses and the Drazin Inverse. - Predrag S. Stanimirovic; Marko D. Petkovic; Dimitrios Gerontitis (Neural Process. Lett., 2018)

Solving discrete time-varying complex division using recurrent neural network with disturbance suppression. - Yang Shi 003; Wenhan Zhao; Jie Wang 091; Jian Li 018; Dimitrios Gerontitis (ICAC, 2021)

Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network. - Changxin Mo; Dimitrios Gerontitis; Predrag S. Stanimirovic (Neurocomputing, 2021)

Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion. - Predrag S. Stanimirovic; Dimitrios Gerontitis; Panagiotis Tzekis; Ratikanta Behera; Jajati Keshari Sahoo (Math. Comput. Simul., 2021)

A New Varying-Parameter Design Formula for Solving Time-Varying Problems. - Predrag S. Stanimirovic; Vasilios N. Katsikis; Dimitrios Gerontitis (Neural Process. Lett., 2021)

A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations. - Dimitrios Gerontitis; Ratikanta Behera; Yang Shi 003; Predrag S. Stanimirovic (Neurocomputing, 2022)

A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization. - Theodore E. Simos; Vasilios N. Katsikis; Spyridon D. Mourtas; Predrag S. Stanimirovic; Dimitrios Gerontitis (Inf. Sci., 2022)

A family of varying-parameter finite-time zeroing neural networks for solving time-varying Sylvester equation and its application. - Dimitrios Gerontitis; Ratikanta Behera; Panagiotis Tzekis; Predrag S. Stanimirovic (J. Comput. Appl. Math., 2022)

Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application. - Yang Shi 003; Long Jin 001; Shuai Li 002; Jian Li 018; Jipeng Qiang; Dimitrios Gerontitis (IEEE Trans. Neural Networks Learn. Syst., 2022)

A novel extended Li zeroing neural network for matrix inversion. - Dimitrios Gerontitis; Changxin Mo; Predrag S. Stanimirovic; Panagiotis Tzekis; Vasilios N. Katsikis (Neural Comput. Appl., 2023)

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators. - Yang Shi 003; Wangrong Sheng; Shuai Li 002; Bin Li 006; Xiaobing Sun 001; Dimitrios Gerontitis (Neural Networks, 2023)

An efficient zeroing neural network for solving time-varying nonlinear equations. - Ratikanta Behera; Dimitrios Gerontitis; Predrag S. Stanimirovic; Vasilios N. Katsikis; Yang Shi 003; Xinwei Cao (Neural Comput. Appl., 2023)

An advanced discrete-time RNN for handling discrete time-varying matrix inversion: Form model design to disturbance-suppression analysis. - Yang Shi 003; Qiaowen Shi; Xinwei Cao; Bin Li 006; Xiaobing Sun 001; Dimitrios Gerontitis (CAAI Trans. Intell. Technol., 2023)

Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving. - Weijie Chen; Jie Jin; Dimitrios Gerontitis; Lixin Qiu; Jingcan Zhu (Neural Process. Lett., 2023)

Solving Different Numerical Linear Algebra Problems with a New General Fast Neurodynamics. - Dimitrios Gerontitis; Panagiotis Tzekis; Yang Shi 003 (ICACI, 2024)

A Discrete Time-Varying Zeroing Neural Dynamics for Solving Equality Constrained Optimization. - Jie Zhou; Qiaowen Shi; Ruicong Wang; Chao Mou; Dimitrios Gerontitis; Yang Shi 003 (ICIRA (3), 2024)

Application of Gradient Optimization Methods in Defining Neural Dynamics. - Predrag S. Stanimirovic; Natasa Tesic; Dimitrios Gerontitis; Gradimir V. Milovanovic; Milena J. Petrovic; Vladimir L. Kazakovtsev; Vladislav Stasiuk (Axioms, 2024)

Improved zeroing neural models based on two novel activation functions with exponential behavior. - Dimitrios Gerontitis; Changxin Mo; Predrag S. Stanimirovic; Vasilios N. Katsikis (Theor. Comput. Sci., 2024)

A General One-Parameter Discrete-Time Recurrent Neural Network for Solving Discrete-Form Time-Varying Augmented Sylvester Matrix Equation. - Yueyang Ma; Weijie Su; Jian Li; Dimitrios Gerontitis; Yang Shi; Jiyun Wang (ISNN, 2025)

A zeroing neural dynamics algorithm for discrete-time nonlinear optimization with linear equality constraint and perturbation inhibition. - Chao Jiang; Jiacheng Wang; Ruxin Zhao; Dimitrios Gerontitis; Yang Shi 003 (Neurocomputing, 2025)

A New Double-Integration-Enhanced RNN Algorithm for Discrete Time-Variant Equation Systems With Robot Manipulator Applications. - Yang Shi 003; Wei Chong; Xinwei Cao; Chao Jiang; Ruxin Zhao; Dimitrios Gerontitis (IEEE Trans Autom. Sci. Eng., 2025)