Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stochastic effects on the stability property of reaction–diffusion generalized Cohen–Grossberg neural networks (GDCGNNs) with time-varying delay are considered. By skillfully constructing suitable Lyapunov functionals and employing the method of variational parameters, inequality technique and stochastic analysis, the delay independent and easily verifiable sufficient conditions to guarantee the mean-value exponential stability of an equilibrium solution associated with temporally uniform external inputs to the networks are obtained. One example is given to illustrate the theoretical results.
['Li Wan', 'Qinghua Zhou', 'Jianhua Sun']
I am writing a research paper on a idea MEAN VALUE EXPONENTIAL STABILITY OF STOCHASTIC REACTION–DIFFUSION GENERALIZED COHEN–GROSSBERG NEURAL NETWORKS WITH TIME-VARYING DELAY
[{"from": "human", "value": "I am writing a research paper on a idea MEAN VALUE EXPONENTIAL STABILITY OF STOCHASTIC REACTION\u2013DIFFUSION GENERALIZED COHEN\u2013GROSSBERG NEURAL NETWORKS WITH TIME-VARYING DELAY"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Stochastic effects on the stability property of reaction\u2013diffusion generalized Cohen\u2013Grossberg neural networks (GDCGNNs) with time-varying delay are considered. By skillfully constructing suitable Lyapunov functionals and employing the method of variational parameters, inequality technique and stochastic analysis, the delay independent and easily verifiable sufficient conditions to guarantee the mean-value exponential stability of an equilibrium solution associated with temporally uniform external inputs to the networks are obtained. One example is given to illustrate the theoretical results."}]