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Neural Networks, 2020 The significant contribution of this paper is the addressing the stability issue of neutral-type Cohen-Grossberg neural networks possessing multiple time delays in the states of the neurons and multiple neutral delays in time derivative of states of the neurons.
Özlem Faydasicok
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New conditions for global stability of neutral-type delayed Cohen–Grossberg neural networks
Neural Networks, 2018 This paper carries out a theoretical investigation of the class of neutral-type delayed Cohen-Grossberg neural networks by using the Lyapunov stability theory. By employing a suitable Lyapunov functional candidate, we derive some new delay independent sufficient conditions for the global asymptotic stability of the equilibrium point for the neutral ...
Neyir Ozcan
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Stability analysis for delayed Cohen–Grossberg Clifford‐valued neutral‐type neural networks
Mathematical Methods in the Applied Sciences, 2022The aim of this study is to explore the global stability of Cohen–Grossberg Clifford‐valued neutral‐type neural network models with time delays. In order to achieve the aim of this paper, and to solve the non‐commutativity problem caused by Clifford numbers multiplication, the original Clifford‐valued system is first decomposed into ‐dimensional real ...
Ramalingam Sriraman +2 more
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Neural Networks, 2022
The major target of this research article is to conduct a new Lyapunov stability analysis of a special model of Cohen-Grossberg neural networks that include multiple delay terms in state variables of systems neurons and multiple delay terms in time derivatives of state variables of systems neurons in the network structure.
Özlem Faydasicok, Sabri Arik
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The major target of this research article is to conduct a new Lyapunov stability analysis of a special model of Cohen-Grossberg neural networks that include multiple delay terms in state variables of systems neurons and multiple delay terms in time derivatives of state variables of systems neurons in the network structure.
Özlem Faydasicok, Sabri Arik
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Stability analysis of Cohen–Grossberg neural networks of neutral-type: Multiple delays case
Neural Networks, 2019 The essential purpose of this work is to conduct an investigation into stability problem for the class of neutral-type Cohen-Grossberg neural networks including multiple time delays in states and multiple neutral delays in time derivative of states.
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Neural Networks, 2020 The essential objective of this research article is to investigate stability issue of neutral-type Cohen-Grossberg neural networks involving multiple time delays in states of neurons and multiple neutral delays in time derivatives of states of neurons in the network.
FAYDASIÇOK, Özlem
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Stability analysis of two-dimensional neutral-type Cohen–Grossberg BAM neural networks
Neural Computing and Applications, 2015Two-dimensional system model represents a wide range of practical systems, such as image data processing and transmission, thermal processes, gas absorption and water stream heating. Moreover, there are few dynamical discussions for the two-dimensional neutral-type Cohen–Grossberg BAM neural networks. Hence, in this paper, our purpose is to investigate
Wenjun Xiong, Jinde Cao, Xiong Wenjun
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