Abstract
A generalized neutral-type neural networks in critical case is studied. Some existence and asymptotic behavior results of periodic solution to the neutral-type neural networks in critical case are obtained by continuation theorem of coincidence degree theory and some analysis techniques. Finally, an example is given to show the effectiveness of the results in this paper.
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Acknowledgments
This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, under Grant No. 9-130-36-HiCi, NNSF (No. 11571136) of China and Postdoctoral Foundation of China (2014M561716). The authors, therefore, acknowledge with thanks DSR technical and financial support.
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Du, B., Lu, S. & Liu, Y. Periodic Solution for Neutral-Type Neural Networks in Critical Case. Neural Process Lett 44, 765–777 (2016). https://doi.org/10.1007/s11063-015-9493-7
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DOI: https://doi.org/10.1007/s11063-015-9493-7