Add to ORKG377 We describe two expriments in optical neural computing. In the first a closed optical feedback loop is used to implement auto-associative image recall. In the second a perceptron-Iike learning algorithm is implemented with photorefractive holography
This paper presents a new associative pattern matching network based on a digital adaptation of opti...
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. ...
spatial filters, optical computing, neural networks, neural network model, associative memory, patte...
We describe two experiments in optical neural computing. In the first a closed optical feedback loop...
An optical computer which performs the classification of an input object pattern into one of two lea...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
The dense interconnections that characterize neural networks are most readily implemented using opti...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
In a holographic optical learning network, the decay of multiply exposed holographic interconnection...
Implementation of an opto-electronic Hopfield style associative memory neural network is discussed w...
This feature of Applied Optics is devoted to papers on the optical implementation of neural-network ...
Optical implementation of content addressable associative memory based on the Hopfield model for neu...
Can computers be built to solve problems, such as recognizing patterns, that entail memorizing all p...
Optical-processor architectures for various forms of the alternating-projection neural network are c...
In recent years there has been a great interest in neural networks, since neural networks are capabl...
This paper presents a new associative pattern matching network based on a digital adaptation of opti...
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. ...
spatial filters, optical computing, neural networks, neural network model, associative memory, patte...
We describe two experiments in optical neural computing. In the first a closed optical feedback loop...
An optical computer which performs the classification of an input object pattern into one of two lea...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
The dense interconnections that characterize neural networks are most readily implemented using opti...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
In a holographic optical learning network, the decay of multiply exposed holographic interconnection...
Implementation of an opto-electronic Hopfield style associative memory neural network is discussed w...
This feature of Applied Optics is devoted to papers on the optical implementation of neural-network ...
Optical implementation of content addressable associative memory based on the Hopfield model for neu...
Can computers be built to solve problems, such as recognizing patterns, that entail memorizing all p...
Optical-processor architectures for various forms of the alternating-projection neural network are c...
In recent years there has been a great interest in neural networks, since neural networks are capabl...
This paper presents a new associative pattern matching network based on a digital adaptation of opti...
The remarkable collective computational properties of the Hopfield model for neural networks [Proc. ...
spatial filters, optical computing, neural networks, neural network model, associative memory, patte...