کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408573 679033 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global exponential stability in Lagrange sense for neutral type recurrent neural networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Global exponential stability in Lagrange sense for neutral type recurrent neural networks
چکیده انگلیسی

In this paper, the global exponential stability in Lagrange sense for continuous neutral type recurrent neural networks (NRNNs) with multiple time delays is studied. Three different types of activation functions are considered, including general bounded and two types of sigmoid activation functions. By constructing appropriate Lyapunov functions, some easily verifiable criteria for the ultimate boundedness and global exponential attractivity of NRNNs are obtained. These results can be applied to monostable and multistable neural networks as well as chaos control and chaos synchronization.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 74, Issue 4, January 2011, Pages 638–645
نویسندگان
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