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
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;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23845
