Title :
Chaotic analog associative memory
Author :
Imai, Hisao ; Osana, Yuko ; Hagiwara, Masafumi
Author_Institution :
Keio Univ., Yokohama, Japan
Abstract :
We propose a chaotic analog associative memory (CAAM). It can deal with associations of analog patterns including common patterns. The proposed model has the following features: (1) it can deal with associations of analog patterns; (2) it can deal with one-to-many associations; (3) it has robustness for noisy input and neuron damage
Keywords :
analogue storage; chaos; content-addressable storage; learning (artificial intelligence); analog patterns; chaotic analog associative memory; common patterns; neuron damage; noisy input; one-to-many associations; Associative memory; CADCAM; Chaos; Computer aided manufacturing; Context modeling; Humans; Neural networks; Neurons; Robustness;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939522
