Farouk Chérif

Orcid: 0000-0002-8186-8332

According to our database1, Farouk Chérif authored at least 25 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Weighted Pseudo Almost-Automorphic Solutions of Quaternion-Valued RNNs With Mixed Delays.
Neural Process. Lett., February, 2023

2022
The synchronization and stability analysis of delayed fuzzy Cohen-Grossberg neural networks via nonlinear measure method.
J. Exp. Theor. Artif. Intell., 2022

2021
Pseudo almost periodic solutions and global exponential stability of a new class of nonlinear generalized Gilpin-Ayala competitive model with feedback control with delays.
Comput. Appl. Math., 2021

2020
Positive pseudo almost periodic solutions to a class of hematopoiesis model: oscillations and dynamics.
J. Appl. Math. Comput., June, 2020

Stepanov-Like Pseudo Almost Periodic Solution of Quaternion-Valued for Fuzzy Recurrent Neural Networks with Mixed Delays.
Neural Process. Lett., 2020

Exponential Lag Synchronization and Global Dissipativity for Delayed Fuzzy Cohen-Grossberg Neural Networks with Discontinuous Activations.
Neural Process. Lett., 2020

Fixed-time synchronization of competitive neural networks with proportional delays and impulsive effect.
Neural Comput. Appl., 2020

2019
Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
On the Weighted Pseudo-Almost Periodic Solution for BAM Networks with Delays.
Neural Process. Lett., 2018

Impulsive generalized high-order recurrent neural networks with mixed delays: Stability and periodicity.
Neurocomputing, 2018

Dynamics and oscillations of generalized high-order Hopfield neural networks with mixed delays.
Neurocomputing, 2018

2017
New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays.
Neural Process. Lett., 2017

Stability and Exponential Synchronization of High-Order Hopfield Neural Networks with Mixed Delays.
Cybern. Syst., 2017

2016
Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

The Existence and the Stability of Weighted Pseudo Almost Periodic Solution of High-Order Hopfield Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Stability analysis for delayed high-order type of Hopfield neural networks with impulses.
Neurocomputing, 2015

Stability analysis of delayed Hopfield Neural Networks with impulses via inequality techniques.
Neurocomputing, 2015

Exponential synchronization of high-order recurrent neural networks with mixed delays.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

2014
Stability of stochastically perturbed hopfield-type neural networks with mixed delays.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Learning to Walk Using a Recurrent Neural Network with Time Delay.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays.
IEEE Trans. Neural Networks Learn. Syst., 2012

Dynamics and Oscillations of GHNNs with Time-Varying Delay.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012


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