شماره ركورد كنفرانس :
4781
عنوان مقاله :
A neural network for solving the AVE
پديدآورندگان :
Mansoori Amin Department of Applied Mathematics, Ferdowsi University of Mashhad , Effati Sohrab Department of Applied Mathematics, Ferdowsi University of Mashhad , Eshaghnezhad Mohammad Department of Applied Mathematics, Ferdowsi University of Mashhad
كليدواژه :
: Absolute value equations , Linear complementarity problem , Neural network , Globally stable in the sense of Lyapunov.
عنوان كنفرانس :
يازدهمين كنفرانس بين المللي انجمن ايراني تحقيق در عمليات
چكيده فارسي :
In this paper, we obtain the exact solution of the absolute value equation (AVE). To the best of our knowledge, there is not an attempt to obtain the exact solutionn to this problem. However, there exist many numerical methods to get the approximation solution of the AVE. Here, we try to present a neural network model in order to find the solution of the AVE, analytically. Furthermore, the Lyapunov stability and the global convergence of the model are proved. Finally, the simulation results show the performance, the effectiveness, and the accuracy of the method.
