[图书][B] Optical neural networks
C Denz - 2013 - books.google.com
In recent years, there has been a rapid expansion in the field of nonlinear optics as weIl as
in the field of neural computing. Up to date, no one would doubt that nonlinear optics is one …
in the field of neural computing. Up to date, no one would doubt that nonlinear optics is one …
A survey of approaches for implementing optical neural networks
Conventional neural networks are software simulations of artificial neural networks (ANNs)
implemented on von Neumann machines. This technology has recently encountered …
implemented on von Neumann machines. This technology has recently encountered …
[图书][B] Optical signal processing, computing, and neural networks
FTS Yu, S Jutamulia - 1992 - dl.acm.org
From the Publisher: In recent years, optical computing and optical neural networks research
has enriched the field originally known as optical signal processing. Optical Signal …
has enriched the field originally known as optical signal processing. Optical Signal …
Optical neural networks
HJ Caulfield, J Kinser, SK Rogers - Proceedings of the IEEE, 1989 - ieeexplore.ieee.org
Classical optical information processing and classical neural networks can be adapted and
combined to create optical neural networks which offer significant and fundamental …
combined to create optical neural networks which offer significant and fundamental …
Reservoir computing: a photonic neural network for information processing
At the boundaries between photonics and dynamic systems theory, we combine recent
advances in neural networks with opto-electronic nonlinearities to demonstrate a new way to …
advances in neural networks with opto-electronic nonlinearities to demonstrate a new way to …
All-optical implementation of the inverted neural network model
I Shariv, T Grossman, E Domany… - Optics in Complex …, 1990 - spiedigitallibrary.org
The Inverted Neural Network (INN) model especially designed for optical implementation is
presented. This model takes into account the physical constraints imposed by conventional …
presented. This model takes into account the physical constraints imposed by conventional …
The interconnectability of neuro-optic processors
T Jannson, HM Stoll… - Real-Time Signal …, 1986 - spiedigitallibrary.org
The inherent parallelism, great processing speed, and massive interconnectability of optical
systems have made the latter natural candidates for realizing various neural net models of …
systems have made the latter natural candidates for realizing various neural net models of …
Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
II Optical neural networks: architecture, design and models
TS Francis - Progress in optics, 1993 - Elsevier
Publisher Summary This chapter discusses the architecture, design and models for the
optical neural networks. A neural network is a parallel data-processing architecture …
optical neural networks. A neural network is a parallel data-processing architecture …
Optical neural networks: System and device technologies
System and device technologies for optical neural networks are described, with focusing on
the Hopfield associative memories. The optical neural network with a stochastic process is …
the Hopfield associative memories. The optical neural network with a stochastic process is …