Abstract

A simple modification of the adaptive resonance theory (ART) neural network allows shift, scale and rotation invariant learning. The authors point out that this can be accomplished as a neural architecture by modifying the standard ART with hardwired interconnects that perform a Fourier-Mellin transform, and show how to modify the heuristics for efficient simulation of ART architectures to accomplish the additional innovation. Finally, they discuss the implementation of this in optoelectronic hardware, using a modification of the Van der Lugt optical correlator

Meeting Name

24th Annual Hawaii International Conference on System Sciences, 1991

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Fourier-Mellin Transform; Van Der Lugt Optical Correlator; Adaptive Resonance Theory; Hardwired Interconnects; Learning Systems; Neural Architecture; Neural Nets; Neural Network; Optical Information Processing; Optoelectronic Devices; Optoelectronic Hardware; Optoelectronic Implementation; Rotation Invariance; Scale Invariance; Shift Invariance; Software Simulation Heuristics; Unsupervised Learning

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1991 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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