کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
408990 679048 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Global exponential stability of high-order bidirectional associative memory (BAM) neural networks with time delays in leakage terms
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Global exponential stability of high-order bidirectional associative memory (BAM) neural networks with time delays in leakage terms
چکیده انگلیسی

High-order bidirectional associative memory (BAM) neural networks with time delays in leakage terms play an increasingly important role in the design and implementation of neural network systems. Based on Lyapunov–Krasovskii functional and linear matrix inequality technique, issues of global exponential stability for high-order BAM neural networks with time delays in leakage terms are investigated. The proposed results, which do not require the boundedness, differentiability and monotonicity of the activation functions. In addition, the stability criteria that depend on the leakage time delays and our results are presented in terms of LMIs, which can be efficiently solved via a standard numerical package. Three numerical examples are provided to demonstrate the effectiveness of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 177, 12 February 2016, Pages 515–528
نویسندگان
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