DocumentCode
772495
Title
ULSI architectures for artificial neural networks
Author
Rückert, Ulrich
Author_Institution
Paderborn Univ., Germany
Volume
22
Issue
3
fYear
2002
Firstpage
10
Lastpage
19
Abstract
No clear consensus exists about how to exploit the potential for massively parallel implementations of artificial neural networks. Three hardware implementations to demonstrate the key issues surrounding their use are: model specific integrated circuits for neural associative memories, self-organizing feature maps, and local cluster neural networks
Keywords
ULSI; content-addressable storage; neural chips; neural net architecture; parallel architectures; self-organising feature maps; associative memories; local clustering; massively parallel processing; model specific integrated circuits; neural networks; self-organizing feature maps; ultra-large scale-integration architectures; Artificial neural networks; Associative memory; Biological system modeling; CMOS technology; Information processing; Integrated circuit modeling; Microelectronics; Neurons; Parallel processing; Ultra large scale integration;
fLanguage
English
Journal_Title
Micro, IEEE
Publisher
ieee
ISSN
0272-1732
Type
jour
DOI
10.1109/MM.2002.1013300
Filename
1013300
Link To Document