سال انتشار: ۱۳۸۷

محل انتشار: دومین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۴

نویسنده(ها):

S Effati – Payam Noor University (PNU), Quchan, Iran
M. Ranjbar –

چکیده:

This paper presents a novel recurrent neural network for solving quadratic programming problems. The new model has a simple form, furthermore has a good convergence rate with a less number calculation operation than the old models. It converges very fast to exact solution of the dual problem and by substituting in a formulation, the optimal solution of the original problem is obtained. We solve neural network model with one of numerical method. Finally, simple numerical example is provided for the sake of illustration.