Dimitrios Gerontitis

According to our database, Dimitrios Gerontitis authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., February, 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, January, 2024

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., December, 2023

An advanced discrete-time RNN for handling discrete time-varying matrix inversion: Form model design to disturbance-suppression analysis.

Yang Shi, Qiaowen Shi, Xinwei Cao, Bin Li, Xiaobing Sun, Dimitrios Gerontitis

CAAI Trans. Intell. Technol., September, 2023

An efficient zeroing neural network for solving time-varying nonlinear equations.

Ratikanta Behera, Dimitrios Gerontitis, Predrag S. Stanimirovic, Vasilios N. Katsikis, Yang Shi, Xinwei Cao

Neural Comput. Appl., August, 2023

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators.

Yang Shi, Wangrong Sheng, Shuai Li, Bin Li, Xiaobing Sun, Dimitrios Gerontitis

Neural Networks, July, 2023

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., July, 2023

2022

Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application.

Yang Shi, Long Jin, Shuai Li, Jian Li, Jipeng Qiang, Dimitrios Gerontitis

IEEE Trans. Neural Networks Learn. Syst., 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

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 robust noise tolerant zeroing neural network for solving time-varying linear matrix equations.

Dimitrios Gerontitis, Ratikanta Behera, Yang Shi, Predrag S. Stanimirovic

Neurocomputing, 2022

2021

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

Predrag S. Stanimirovic, Vasilios N. Katsikis, Dimitrios Gerontitis

Neural Process. Lett., 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

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

Solving discrete time-varying complex division using recurrent neural network with disturbance suppression.

Yang Shi, Wenhan Zhao, Jie Wang, Jian Li, Dimitrios Gerontitis

Proceedings of the 26th International Conference on Automation and Computing, 2021

2018

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

2017

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

Predrag S. Stanimirovic, Miroslav Ciric, Igor Stojanovic, Dimitrios Gerontitis

Complex., 2017