DocumentCode
3317615
Title
A new implementation of discrete-time Hopfield net with higher capacity and speed of convergence
Author
Menhaj, Mohammad B. ; Seifipour, Navid
Author_Institution
Dept. of Electr. Eng., Amirkabir Univ., Tehran, Iran
Volume
1
fYear
2001
fDate
2001
Firstpage
436
Abstract
The Hopfield network with a recurrent, non-hierarchical structure is an effective tool for associative memories as well as for optimizations. The main drawback of discrete-time Hopfield net is its low limit of storage capacity. This paper presents a new implementation of Hopfield structured neural net processing higher storage capacities and higher speed rate of convergence as well
Keywords
Hopfield neural nets; content-addressable storage; convergence; optimisation; Hopfield neural network; associative memory; convergence; discrete-time Hopfield net; optimization; recurrent neural net; Associative memory; Convergence; Energy storage; Limit-cycles; Network synthesis; Neural networks; Neurons; Recurrent neural networks; State-space methods; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939059
Filename
939059
Link To Document