DocumentCode
1999908
Title
Neurodynamic Analysis for a Class of Nonlinear Fractional Programming
Author
Zhang, Quanju ; Zhang, Jie ; Feng, Junhong ; Yang, Yajuan
Author_Institution
Manage. Dept., Dongguan Univ. of Technol., Dongguan, China
Volume
1
fYear
2008
fDate
13-17 Dec. 2008
Firstpage
489
Lastpage
494
Abstract
This paper presents neurodynamic method for solving a class of nonlinear fractional optimization problems with bounds constraints. The neurodynamic model have the following two properties. First, it is demonstrated that the set of optima to the problems coincides with the set of equilibria of the neurodynamic models which means the proposed model is complete then. Second, it is also shown that the model globally converges to an exact optimal solution for any starting point from the feasible region.
Keywords
neural nets; nonlinear programming; neural network; neurodynamic analysis; nonlinear fractional optimization; nonlinear fractional programming; Artificial neural networks; Cities and towns; Constraint optimization; Economic indicators; Educational institutions; Hopfield neural networks; Linear programming; Neural networks; Neurodynamics; Recurrent neural networks; Fractional Programming; Global Convergence; Neurodynamic method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location
Suzhou
Print_ISBN
978-0-7695-3508-1
Type
conf
DOI
10.1109/CIS.2008.158
Filename
4724699
Link To Document