DocumentCode
3432028
Title
A study of neural network model with importance emphasizing for associative memory
Author
Yu, Dao-heng ; Yu, Xiang ; Mori, Shinsaku
Author_Institution
Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
fYear
1992
fDate
16-20 Nov 1992
Firstpage
1257
Abstract
This paper shows by a great number of computer modelling results that the capacity of associative memory and recall probability (recalling Chinese with 40% noise) of the new network is much better than Hopfield´s. It can also be better than Y.C. Lee´s higher order correlation network if a larger emphasizing parameter P is used
Keywords
content-addressable storage; neural nets; Chinese; associative memory; capacity; higher order correlation network; importance-emphasizing model; neural network model; recall probability; Associative memory; Automation; Computational modeling; Computer networks; Computer simulation; Equations; Hardware; Lyapunov method; Magnetooptic recording; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Singapore ICCS/ISITA '92. 'Communications on the Move'
Print_ISBN
0-7803-0803-4
Type
conf
DOI
10.1109/ICCS.1992.255058
Filename
255058
Link To Document