Dimitrios Gerontitis
Orcid: 0000-0002-2148-0811
According to our database1,
Dimitrios Gerontitis
authored at least 18 papers
between 2017 and 2024.
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Timeline
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Bibliography
2024
Improved zeroing neural models based on two novel activation functions with exponential behavior.
Theor. Comput. Sci., February, 2024
Axioms, January, 2024
Solving Different Numerical Linear Algebra Problems with a New General Fast Neurodynamics.
Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024
2023
Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving.
Neural Process. Lett., December, 2023
An advanced discrete-time RNN for handling discrete time-varying matrix inversion: Form model design to disturbance-suppression analysis.
CAAI Trans. Intell. Technol., September, 2023
Neural Comput. Appl., August, 2023
A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators.
Neural Networks, July, 2023
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.
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.
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.
Inf. Sci., 2022
A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations.
Neurocomputing, 2022
2021
Neural Process. Lett., 2021
Simulation of Varying Parameter Recurrent Neural Network with application to matrix inversion.
Math. Comput. Simul., 2021
Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network.
Neurocomputing, 2021
Solving discrete time-varying complex division using recurrent neural network with disturbance suppression.
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.
Neural Process. Lett., 2018
2017
Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses.
Complex., 2017