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 :
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