Associative-memory model based on neural networks: modification of Hopfield model

1988 ◽  
Vol 13 (1) ◽  
pp. 74 ◽  
Author(s):  
Sang-Hoon Oh ◽  
Tae-Hoon Yoon ◽  
Jae Chang Kim
Keyword(s):  
Neural Networks ◽  
Associative Memory ◽  
Hopfield Model ◽  
Memory Model ◽  
Model Based

A unified associative memory model based on external inputs of continuous recurrent neural networks

2016 ◽  
Vol 186 ◽  
pp. 44-53 ◽  
Author(s):  
Caigen Zhou ◽  
Xiaoqin Zeng ◽  
Jianjiang Yu ◽  
Haibo Jiang
Keyword(s):  
Neural Networks ◽  
Associative Memory ◽  
Recurrent Neural Networks ◽  
Memory Model ◽  
Model Based

A generalized bipolar auto-associative memory model based on discrete recurrent neural networks

2015 ◽  
Vol 162 ◽  
pp. 201-208 ◽  
Author(s):  
Caigen Zhou ◽  
Xiaoqin Zeng ◽  
Haibo Jiang ◽  
Lixin Han
Keyword(s):  
Neural Networks ◽  
Associative Memory ◽  
Recurrent Neural Networks ◽  
Memory Model ◽  
Model Based

Multi-Granularity and Many-to-Many Associative Memory Based on Incidence of Patterns

2010 ◽  
Vol 39 ◽  
pp. 284-294
Author(s):  
Guo Wei Yang ◽  
Xiao Yu
Keyword(s):  
Associative Memory ◽  
Memory Models ◽  
Memory Model ◽  
Control Network ◽  
Model Based

The study of many-to-many associative memory models have obtained some achievement. The present many-to-many associative memory models can not carry out the multi-granularity association. In this paper, a kind of multi-granularity many-to-many associative memory model based on incidence of patterns is proposed by use of introducing logic calculation network and granularity control network. The model can control the granularity of output and carry out multi-granularity association

scholarly journals Associative Memory Model Based in ICA Approach to Human Faces Recognition

10.5772/48442 ◽  
2012 ◽  
Author(s):  
Celso Hilario ◽  
Josue-Rafael Montes ◽  
Teresa Hernndez ◽  
Leonardo Barriga ◽  
Hugo Jimnez
Keyword(s):  
Associative Memory ◽  
Memory Model ◽  
Model Based ◽  
Human Faces
Sign in / Sign up

Export Citation Format

Share Document