Title :
Photonic neural networks and learning machines
Author :
Farhat, Nabil H.
Author_Institution :
Moore Sch. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
Photonic implementations of neural networks, which use electronics to furnish gain and implement neural transfer functions and establish weighted connections between neutrons using incoherent light, are discussed. Fully or partially optical implementations incorporate coherent light and volume or planar holograms to establish interconnection weights, and spatial light modulators to implement neural transfer functions. The implementation of learning algorithms on optoelectronic neural networks is also discussed.<>
Keywords :
learning systems; optical neural nets; coherent light; incoherent light; interconnection weights; learning machines; neural transfer functions; optoelectronic neural networks; partially optical implementations; photonic neural networks; planar holograms; spatial light modulators; weighted connections; Artificial neural networks; Equations; Machine learning; Neural networks; Neurons; Nonlinear optics; Optical device fabrication; Photonics; Symmetric matrices; Transfer functions;
Journal_Title :
IEEE Expert
