Optical finite impulse response neural networks.
The finite impulse response neural network is described in detail. Different algorithms capable of temporal back-propagation are considered, including a novel modification to the conventional algorithm, called the delayed-feedback back-propagation algorithm. We present and analyze different optoelectronic processors making use of adaptive volume holograms and three-dimensional optical processing. Two single-layer architectures are presented: the input delay plane architecture and the output delay plane architecture. By combining them it is possible to implement both forward and backward propagation in two multi-layer architectures: the first making use of the conventional temporal back-propagation and the second making use of delayed-feedback back-propagation.
University of Colorado, Optoelectronic Computing Systems Center, Department of Electrical and Computer Engineering, Boulder 80309-0525, USA. paulo.silveira@networkphotonics.com
Paulo E X
PE
Silveira
G S
GS
Pati
Kelvin H
KH
Wagner