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
fDate :
27 Jun-2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374349
