DocumentCode
288488
Title
High capacity for the Hopfield neural networks
Author
Chen, Chang-Jiu ; Cheung, John Y. ; Haque, Abul L.
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume
2
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
1175
Abstract
In this paper, we employ the memorized vectors in our high capacity model to apply to the Hopfield model. We find that the Hopfield model can also have a high capacity
Keywords
Hopfield neural nets; content-addressable storage; hypercube networks; matrix algebra; Hopfield model; Hopfield neural networks; high capacity model; memorized vectors; Computer science; Computer simulation; Equations; Hopfield neural networks; Hypercubes; Neurons; Recurrent neural networks; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374349
Filename
374349
Link To Document