Meng Hu, Lili Wang, "Almost Periodic Solution of Neutral-Type Neural Networks with Time Delay in the Leakage Term on Time Scales," WSEAS Transactions on Systems, vol. 13, pp. 231-241, 2014, DOI:
Meng Hu, Lili Wang. Almost Periodic Solution of Neutral-Type Neural Networks with Time Delay in the Leakage Term on Time Scales.
WSEAS Transactions on Systems. 2014;13:231-241.
WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 13, 2014
Almost Periodic Solution of Neutral-Type Neural Networks with Time Delay in the Leakage Term on Time Scales
Authors: ,
Abstract: In this paper, based on the theory of calculus on time scales, by using the exponential dichotomy of linear dynamic equations and Banach’s fixed point theorem as well as some mathematical methods, some suffi- cient conditions are obtained for the existence and exponential stability of almost periodic solution of neutral-type neural networks with time-varying delay in the leakage term on time scales. These results have important leading significance in designs and applications of such neural networks. Finally, an example is given to illustrate the feasibility and effectiveness of the results.
Keywords:
Almost periodic solution, Exponential stability, Neutral delay neural networks, Leakage term, Time scale
Pages: 231-241 WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 13, 2014, Art. #21 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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