Title :
Optical computing for artificial neural network implementations
Author_Institution :
Avionics Directorate, Wright Lab., Wright-Patterson AFB, OH, USA
Abstract :
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
Keywords :
neural nets; optical information processing; analogue implementation; artificial neural network implementations; design tradeoffs; digital implementation; optical computing; virtual implementation; Artificial neural networks; Biology computing; Computational modeling; Computer networks; Hardware; Neural networks; Optical computing; Optical design; Optical sensors; Optical signal processing;
Conference_Titel :
Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-1893-5
DOI :
10.1109/NAECON.1994.332960
