DocumentCode
3320081
Title
A formulation for the design of neural processors
Author
Salam, Fathi M A
Author_Institution
Dept. of Electr. Eng. & Syst. Sci., Michigan State Univ., East Lansing, MI, USA
fYear
1988
fDate
24-27 July 1988
Firstpage
173
Abstract
The author presents a mathematical framework for the design of neural networks as associative memories or as pattern classifiers. This framework takes into account the characteristics and the limitations of the electrical components which are the building blocks for the proposed devices. He also presents conditions that given vectors must satisfy to successfully store them in the network. The conditions suggest a preprocessing procedure of the desired memories to render them storable.<>
Keywords
content-addressable storage; neural nets; pattern recognition; associative memories; content addressable storage; neural networks; neural processors; pattern classifiers; pattern recognition; Associative memories; Neural networks; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1988., IEEE International Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/ICNN.1988.23845
Filename
23845
Link To Document