Title :
Effect of Hamming distance of patterns on storage capacity of Hopfield network
Author :
Manandhar, S.K. ; Sadananda, R.
Author_Institution :
Comput. Sci. & Inf. Manage. Program, Asian Inst. of Technol., Pathumthani, Thailand
Abstract :
Although the Hopfield network can store and retrieve patterns, its storage capacity is limited. In this study we investigate the effect of Hamming distance of stored patterns on the success of their retrieval. The results show that by removing patterns having low Hamming distance with each other, the capacity of the network increases.
Keywords :
Hamming codes; Hopfield neural nets; content-addressable storage; Hamming distance; Hopfield network; associative memory; crosstalk; storage capacity; stored pattern retrieval; Associative memory; Computer science; Crosstalk; Hamming distance; Humans; Information management; Information retrieval; Neural networks; Pattern recognition; Road transportation;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1202172