کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410478 679146 2009 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems
چکیده انگلیسی

This paper presents two neural networks to find the optimal point in convex optimization problems and variational inequality problems, respectively. The domain of the functions that define the problems is a convex set, which is determined by convex inequality constraints and affine equality constraints. The neural networks are based on gradient descent and exact penalization and the convergence analysis is based on a control Liapunov function analysis, since the dynamical system corresponding to each neural network may be viewed as a so-called variable structure closed loop control system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 16–18, October 2009, Pages 3863–3872
نویسندگان
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