Title :
SOM associative memory for temporal sequences
Author :
Sakurai, Naoaki ; Hattori, Motonobu ; Ito, Hiroshi
Author_Institution :
Dept. of Comput. Sci. & Media Eng., Yamanashi Univ., Japan
fDate :
6/24/1905 12:00:00 AM
Abstract :
We propose an associative memory based on a self-organizing map which can store and recall temporal sequences. Since the proposed associative memory learns temporal sequences by using their context information, it can handle very complex temporal sequences
Keywords :
content-addressable storage; learning (artificial intelligence); self-organising feature maps; sequences; SOM associative memory; context information; self-organizing map; temporal sequences; Associative memory; Computer science; Context modeling; Difference equations; Displays; Humans; Indium tin oxide; Neural networks; Neurons; Robustness;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005603
