DocumentCode
416566
Title
A fast adaptive algorithm for Hopfield neural network
Author
Zhao, X.C. ; Wang, X.G. ; Tang, Z. ; Tamura, H. ; Ishii, M. ; Zeng, G.Z.
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Univ., China
Volume
1
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
638
Abstract
This paper presents a gradient-based algorithm to speed up the convergence of the Hopfield neural network. To achieve this, we introduce an individual step size n, which is adapted according to the gradient information. The algorithm is applied to some benchmark problems, extensive simulations are performed and its effectiveness is confirmed.
Keywords
Hopfield neural nets; gradient methods; travelling salesman problems; Hopfield neural network; benchmark problems; combinatorial optimization; fast adaptive algorithm; gradient-based algorithm; traveling salesman problem;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1323444
Link To Document