Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Biperiodicity in neutral-type delayed difference neural networks | Advances in Difference Equations SpringerOpen0 This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text HTML versions will be made available soon. Biperiodicity in neutral-type delayed difference neural networks Advances in Difference Equations 2012 2012 5 doi 1687-1847-2012-5 Zhenkun Huang hzk974226@ Youssef N Raffoul ISSN 1687-1847 Article type Research Submission date 17 October 2011 Acceptance date 31 January 2012 Publication date 31 January 2012 Article URL http content 2012 1 5 This peer-reviewed article was published immediately upon acceptance. It can be downloaded printed and distributed freely for any purposes see copyright notice below . For information about publishing your research in Advances in Difference Equations go to http authors instructions For information about other SpringerOpen publications go to http 2012 Huang and Raffoul licensee Springer. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Biperiodicity in neutral-type delayed difference neural networks Zhenkun Huang 1 and Youssef N Raffoul2 School of Science Jimei University Xiamen 361021 P. R. China 2Department of Mathematics University of Dayton Dayton OH 45469-2316 USA Corresponding author hzk974226@ Email address YNR Abstract In this article we employ Krasnoselskii s fixed point theorem to obtain new biperiodicity criteria for neutral-type difference neural networks with delays. It is shown that the neutral-type term can leads to biperiodicity results. That is coexistence of a positive periodic sequence solution and its .
