Artificial Neural Networks (ANNs) have gained recognition as a valuable tool to aid in the solution of difficult computing problems. Despite an abundance of work in the application and mathematical foundations of ANNs there currently exists no consensus on how to implement ANNs in hardware. The goal of this paper is to motivate the use of optical computing technologies to meet the huge computational burden presented by ANNs and to provide an analytical perspective on ANN implementation by addressing issues and design tradeoffs.<>
Optical computing for artificial neural network implementations
1994-01-01
729670 byte
Conference paper
Electronic Resource
English
Optical Computing for Artificial Neural Network Implementations
British Library Conference Proceedings | 1994
|Photonic implementations of neural networks
British Library Conference Proceedings | 1995
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