Cascade Back-Propagation Learning in Neural Networks

TBMG-649

05/01/2003

Abstract
Content

The cascade back-propagation (CBP) algorithm is the basis of a conceptual design for accelerating learning in artificial neural networks. The neural networks would be implemented as analog very-large-scale integrated (VLSI) circuits, and circuits to implement the CBP algorithm would be fabricated on the same VLSI circuit chips with the neural networks. Heretofore, artificial neural networks have learned slowly because it has been necessary to train them via software, for lack of a good on-chip learning technique. The CBP algorithm is an on-chip technique that provides for continuous learning in real time.

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Citation
"Cascade Back-Propagation Learning in Neural Networks," Mobility Engineering, May 1, 2003.
Additional Details
Publisher
Published
May 1, 2003
Product Code
TBMG-649
Content Type
Magazine Article
Language
English