Improvement of Associative Memory for One to Many with a Quantized Storage Algorithm

被引：0

作者：

Qi, Yi ^{[1
]}

机构：

[1] Chong Qing Univ Arts & Sci, Sch Comp, Chongqing, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION, PROCEEDINGS | 2009年

关键词：

neural networks; associative memory; quantized storage; distributed; omputing;

D O I：

10.1109/APCIP.2009.54

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

The severe storage restrictions of existing classical associative memory is a great obstacle to obtain dynamic knowledge increase of hetero associative memory. And quantum neural networks may be one of next directions in the evolution of neural distributed computing system. In this paper, we proposed an new multi module associative memory model with a quantized storage algorithm and try to improve the performance of new memory. The new method may expand the storage capacity and achieve an exponential growth in base two using only n neurons. The properties of new associative memory are investigated in detail.

引用

页码：187 / 190

页数：4

共 50 条

[1] One-to-Many Association Ability of Chaotic Quaternionic Multidirectional Associative Memory
Okutsu, Takumi
Osana, Yuko
NEURAL INFORMATION PROCESSING (ICONIP 2014), PT I, 2014, 8834 : 111 - 118
[2] Analysis of a correlation-type associative memory with one-to-many associations
Kawamura, M
Okada, M
Hirai, Y
PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2, 1998, : 885 - 889
[3] Dynamics of selective recall in an associative memory model with one-to-many associations
Kawamura, M
Okada, M
Hirai, Y
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03): : 704 - 713
[4] One-to-many association ability of chaotic quaternionic multidirectional associative memory
1600, Springer Verlag (8834):
[5] CVAM: continuous-valued associative memory for one-to-many associations
Kano, Shunsuke
Hagiwara, Masafumi
APPLIED INTELLIGENCE, 2023, 53 (05) : 5462 - 5472
[6] CVAM: continuous-valued associative memory for one-to-many associations
Shunsuke Kano
Masafumi Hagiwara
Applied Intelligence, 2023, 53 : 5462 - 5472
[7] Multimodule associative memory for many-to-many associations
Hattori, M
Hagiwara, M
NEUROCOMPUTING, 1998, 19 (1-3) : 99 - 119
[8] Capacity of autocorrelation associative memory with quantized synaptic weight
Mimura, K
Okada, M
Kurata, K
SYSTEMS AND COMPUTERS IN JAPAN, 1996, 27 (05) : 55 - 63
[9] Capacity of autocorrelation associative memory with quantized synaptic weight
Osaka Univ, Toyonaka, Japan
Syst Comput Jpn, 5 (55-63):
[10] Many-to-one and one-to-many associative learning in a naturalistic task
McDaniel, MA
Neufeld, KH
Damico-Nettleton, S
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2001, 7 (03) : 182 - 194

← 1 2 3 4 5 →