DocumentCode
2657844
Title
The effect of the dimensionality of interconnections on the storage capacity of a threshold controlled neural network
Author
Hartstein, A.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
1991
fDate
18-21 Nov 1991
Firstpage
2496
Abstract
The author investigates the effect of the dimensionality of the interconnections in a Hopfield-type network on the storage capacity of the network. The analysis is performed for 1D, 2D, 3D and 4D interconnection geometries. The capacity was found to be independent of the dimensionality of the interconnections and to depend only on the total number of interconnections available in a given network. In addition, no evidence of any instabilities was observed, in contrast to physical systems of reduced dimensionality
Keywords
content-addressable storage; neural nets; Hopfield-type network; interconnection dimensionality; interconnection geometries; storage capacity; threshold controlled neural network; Equations; Geometry; Network topology; Neural networks; Neurofeedback; Neurons; Performance analysis; Physics; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN
0-7803-0227-3
Type
conf
DOI
10.1109/IJCNN.1991.170764
Filename
170764
Link To Document