Title :
A new bidirectional associative memory based on distributed representation
Author :
Huang, Jiongtao ; Hagiwara, Masafumi
Author_Institution :
Keio Univ., Yokohama, Japan
Abstract :
We propose a new associative memory, named combined multi-winner associative memory (CMWAM), and study the bidirectional association properties. Unlike many conventional bidirectional associative memories, the proposed CMWAM can store and recall information hierarchically. The proposed CMWAM has the following features: 1) it can store analog information; 2) it can associate an episode from another episode; and 3) it is robust against noisy or partial information and it is robust against internal damage
Keywords :
content-addressable storage; learning (artificial intelligence); neural nets; bidirectional associative memory; combined multiple winner associative memory; information recall; information storage; learning algorithm; neural nets; Associative memory; Body sensor networks; Error correction; Hebbian theory; Humans; Layout; Magnesium compounds; Neural networks; Neurons; Robustness;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831044
