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VLSI Technologies for Artificial Neural Networks
November/December 1989 (vol. 9 no. 6)
pp. 28-44
ASCII Text
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Karl Goser, Ulrich Hilleringmann, Ulrich Rueckert, Klaus Schumacher, "VLSI Technologies for Artificial Neural Networks," IEEE Micro, vol. 9, no. 6, pp. 28-44, November/December, 1989.
 
 
BibTex
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@article{ 10.1109/40.42985,
author = {Karl Goser and Ulrich Hilleringmann and Ulrich Rueckert and Klaus Schumacher},
title = {VLSI Technologies for Artificial Neural Networks},
journal ={IEEE Micro},
volume = {9},
number = {6},
issn = {0272-1732},
year = {1989},
pages = {28-44},
doi = {http://doi.ieeecomputersociety.org/10.1109/40.42985},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Micro
TI - VLSI Technologies for Artificial Neural Networks
IS - 6
SN - 0272-1732
SP28
EP44
EPD - 28-44
A1 - Karl Goser,
A1 - Ulrich Hilleringmann,
A1 - Ulrich Rueckert,
A1 - Klaus Schumacher,
PY - 1989
VL - 9
JA - IEEE Micro
ER -
 

VLSI systems, basic integrated circuits, and silicon technologies are discussed. Novel circuit and design principles that provide a foundation for the implementation of a wide variety of neural network models in silicon are described. The key issues for a successful integration of neural systems are identified. The realization of algorithms in silicon is examined. Special-purpose hardware for carrying out the activation and transfer function and for the connection elements is discussed. A brief overview of the current silicon technologies is provided.

Citation:
Karl Goser, Ulrich Hilleringmann, Ulrich Rueckert, Klaus Schumacher, "VLSI Technologies for Artificial Neural Networks," IEEE Micro, vol. 9, no. 6, pp. 28-44, Nov.-Dec. 1989, doi:10.1109/40.42985
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