DocumentCode
3315136
Title
A recurrent dynamic network for associative recall
Author
Hou, Jiansheng ; Salam, Fathi M A
Author_Institution
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
fYear
1992
fDate
17-19 Sep 1992
Firstpage
28
Lastpage
31
Abstract
A model for recurrent artificial neural networks which can store any number of any prespecified patterns as energy local minima is presented. Therefore, all the prespecified patterns can be stored and recalled. Some examples are given to show how this model can be used in image recognition and association. Generalization of the energy function is discussed. Variations of this model are also investigated for performance improvement and potential hardware implementation
Keywords
image recognition; recurrent neural nets; associative recall; dynamic network; energy function; energy local minima; image recognition; recurrent artificial neural networks; Artificial neural networks; Circuits; Computer networks; Electronic mail; Equations; Laboratories; Mathematical model; Neural network hardware; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1992., IEEE International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-0734-8
Type
conf
DOI
10.1109/ICSYSE.1992.236950
Filename
236950
Link To Document