This paper describes a new optical processing devices that can handle large patterns and can accommodate a large template. The design, layout of the system which uses holographic information processing in photorefractive crystals is given. The operating principle for pattern classification is explained. It is proposed that it can be applied to high-resolution image processing which requires large input fields, where its high storage density gives a distinct performance edge over other schemes that cannot process the large number of pixels
The authors demonstrate a hardware implementation of the adaptive resonance theory ART 1 neural netw...
This paper presents a new associative pattern matching network based on a digital adaptation of opti...
Measurement and signal intelligence demands has created new requirements for information management ...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
An optical computer which performs the classification of an input object pattern into one of two lea...
We describe the combination of neural network training and volume holographic storage technologies u...
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...
An optical network is described that is capable of recognizing at standard video rates the identity ...
We present a novel, versatile optoelectronic neural network architecture for implementing supervised...
An adaptive resonance (ART) device has been conceived that is fully optical in the input-output proc...
A novel adaptive resonance theory (ART) device has been conceived that is fully optical in the input...
This thesis is on the application of 3-D photorefractive crystals disks for holographic optical data...
In this paper, we establish a new scheme for identification and classification of high intensity eve...
The ability of photorefractive crystals to holographically record an optical image in real time allo...
The authors demonstrate a hardware implementation of the adaptive resonance theory ART 1 neural netw...
This paper presents a new associative pattern matching network based on a digital adaptation of opti...
Measurement and signal intelligence demands has created new requirements for information management ...
The capabilities of photorefractive crystals as media for holographic interconnections in neural net...
An optical computer which performs the classification of an input object pattern into one of two lea...
We describe the combination of neural network training and volume holographic storage technologies u...
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...
An optical network is described that is capable of recognizing at standard video rates the identity ...
We present a novel, versatile optoelectronic neural network architecture for implementing supervised...
An adaptive resonance (ART) device has been conceived that is fully optical in the input-output proc...
A novel adaptive resonance theory (ART) device has been conceived that is fully optical in the input...
This thesis is on the application of 3-D photorefractive crystals disks for holographic optical data...
In this paper, we establish a new scheme for identification and classification of high intensity eve...
The ability of photorefractive crystals to holographically record an optical image in real time allo...
The authors demonstrate a hardware implementation of the adaptive resonance theory ART 1 neural netw...
This paper presents a new associative pattern matching network based on a digital adaptation of opti...
Measurement and signal intelligence demands has created new requirements for information management ...