DocumentCode
2770994
Title
Rotor Associative Memory with a Periodic Activation Function
Author
Suzuki, Yozo ; Kitahara, Michimasa ; Kobayashi, Masaki
Author_Institution
Interdiscipl. Grad. Sch. of Med. & Eng., Univ. of Yamanashi, Kofu, Japan
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
8
Abstract
Complex-valued Associative Memory (CAM) can store multi-state patterns unlike Hopfield Associative Memory (HAM). CAM stores not only given training patterns but also many spurious patterns, such as their rotated patterns, at the same time. Rotor Associative Memory (RAM) can make the most of rotated patterns unstable but the reversed patterns remain stable. In the present work, we propose RAM with a Periodic Activation Function (PAF) to make the reversed patterns unstable. PAF is an activation function that Aizenberg introduced to CAM. We prove that RAM with a PAF has far fewer spurious patterns by using dynamic associative memories which can search the stored patterns.
Keywords
content-addressable storage; learning (artificial intelligence); pattern recognition; CAM; PAF; RAM; complex-valued associative memory; dynamic associative memories; multistate patterns; periodic activation function; rotor associative memory; spurious patterns; stable reversed patterns; stored pattern search; training patterns; unstable rotated patterns; Associative memory; Computer aided manufacturing; Computer simulation; Neurons; Random access memory; Rotors; Training; associative memory; complex-valued neural networks; periodic activation function; rotor associative memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location
Brisbane, QLD
ISSN
2161-4393
Print_ISBN
978-1-4673-1488-6
Electronic_ISBN
2161-4393
Type
conf
DOI
10.1109/IJCNN.2012.6252462
Filename
6252462
Link To Document