ULSI architectures for artificial neural networks

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-organizi...

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Bibliographic Details
Published in:IEEE MICRO 2002-05, Vol.22 (3), p.10-19
Main Author: Ruckert, U.
Format: Article
Language:English
Subjects:
Architecture
Artificial neural networks
Associative memory
Biological system modeling
Clusters
CMOS technology
Computer architecture
Computer science
Feature maps
Hardware
Information processing
Integrated circuit modeling
Integrated circuits
Microelectronics
Neural networks
Neurons
Parallel processing
Ultra large scale integration
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Summary: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.
ISSN:0272-1732
1937-4143
DOI:10.1109/MM.2002.1013300