Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the problem of stability analysis for discrete-time recurrent neural networks with randomly occurred nonlinearities (RONs) and time-varying delay. By utilizing new Lyapunov-Krasovskii functions and delay-partitioning technique, the stability criteria are proposed in terms of linear matrix inequality (LMI).  have also shown that the conservatism of the conditions is a non-increasing function of the number of delay partitions. A numerical example is provided to demonstrate the effectiveness of the proposed approach.
['Jianmin Duan', 'Manfeng Hu', 'Yongqing Yang']
I am writing a research paper on a idea A delay-partitioning approach to stability analysis of discrete-time recurrent neural networks with randomly occurred nonlinearities
[{"from": "human", "value": "I am writing a research paper on a idea A delay-partitioning approach to stability analysis of discrete-time recurrent neural networks with randomly occurred nonlinearities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the problem of stability analysis for discrete-time recurrent neural networks with randomly occurred nonlinearities (RONs) and time-varying delay. By utilizing new Lyapunov-Krasovskii functions and delay-partitioning technique, the stability criteria are proposed in terms of linear matrix inequality (LMI).  have also shown that the conservatism of the conditions is a non-increasing function of the number of delay partitions. A numerical example is provided to demonstrate the effectiveness of the proposed approach."}]