کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4954052 1443124 2017 24 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Convergence performance analysis of an adaptive kernel width MCC algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
Convergence performance analysis of an adaptive kernel width MCC algorithm
چکیده انگلیسی
A fixed kernel width in MCC algorithm imposes a trade-off among robustness, convergence rate and steady-state accuracy. With a variable kernel width, the adaptive kernel width MCC (AMCC) algorithm can improve the learning speed of the MCC algorithm especially when the initial weight vector is far away from the optimal weight vector. In this paper, the steady-state excess mean square error (EMSE) of the AMCC algorithm is studied based on energy conservation relation. In addition, a novel convergence measure called initial convergence rate is introduced to evaluate the convergence speed at the beginning of the learning. Simulation experiments are carried out to verify the theoretical analysis and confirm the desirable performance of the AMCC algorithm in several different non-Gaussian noise environments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 76, June 2017, Pages 71-76
نویسندگان
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