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“…In consideration of the discrete delays, Yang and Cao [22] presented another delayed neural networks for solving convex optimization problem where the time delay occurred in the nonlinear projection transformation component. Niu and Liu [23] extended to consider a projection neural network with two different time delays for solving quadratic programming problems subject to linear constraints. Recently, Huang et al [24] developed a projection neural network with discrete delays and distributed delays to solve linear variational inequality.…”

confidence: 99%

“…In consideration of the discrete delays, Yang and Cao [22] presented another delayed neural networks for solving convex optimization problem where the time delay occurred in the nonlinear projection transformation component. Niu and Liu [23] extended to consider a projection neural network with two different time delays for solving quadratic programming problems subject to linear constraints. Recently, Huang et al [24] developed a projection neural network with discrete delays and distributed delays to solve linear variational inequality.…”

confidence: 99%

“…e time delay can improve the dynamic characteristics of the original system and can be better applied to the fields such as encryption [23][24][25] and control [26]. System analysis with time delay has become a research hotspot [27][28][29][30][31][32][33]. Some one-dimensional chaotic mappings were studied in [27][28][29].…”

confidence: 99%

“…Some one-dimensional chaotic mappings were studied in [27][28][29]. A projection neural network with two-time delay is proposed for solving quadratic programming problems subject to linear constraints in [30]. Wang investigated the stability analysis of the fractionalorder Hopfield neural networks with time delay [31].…”

confidence: 99%

“…Using linear matrix inequality approach, the global stability of linear projection neural networks with time delays were studied in [12]. A projection neural network with two different time delays was proposed in [17] to better solve the quadratic programming problem. Neural networks with delay for solving strictly convex optimization problems were considered by Sha et al [22].…”

mentioning

confidence: 99%

“…Neural networks with delay for solving strictly convex optimization problems were considered by Sha et al [22]. It is worth noting that the time delay in the neural networks studied in [12,22,17,3] is only a constant one, but in the real situation, it is the possibility that the time delay varies with time at different moments owing to the interference of voltage, capacitance, and other factors. While, there is still few research on time-varying delay neural networks for solving convex quadratic programming problems.…”

mentioning

confidence: 99%