Shift-invariant interpattern association neural network.
A shift-invariant neural network that uses the translation-invariant property of the modulus Fourier spectra with the heteroassociation interpattern association memory is proposed. A binary encoding of a spectral sampling of the training set is used to preserve the main features. Computer simulations and experimental demonstrations are provided that show the shift-invariant property of the proposed optical neural network.
Uang
C M
CM
Yin
S
S
Andres
P
P
Reeser
W
W
Yu
F T
FT