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Limitations of opto-electronic neural networksConsideration is given to the limitations of implementing neurons, weights, and connections in neural networks for electronics and optics. It is shown that the advantages of each technology are utilized when electronically fabricated neurons are included and a combination of optics and electronics are employed for the weights and connections. The relationship between the types of neural networks being constructed and the choice of technologies to implement the weights and connections is examined.
Document ID
19900045050
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Yu, Jeffrey
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Johnston, Alan
(JPL Pasadena, CA, United States)
Psaltis, Demetri
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Brady, David
(California Institute of Technology Pasadena, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
Electronics And Electrical Engineering
Meeting Information
Meeting: Optical Pattern Recognition
Location: Los Angeles, CA
Country: United States
Start Date: January 17, 1989
End Date: January 18, 1989
Accession Number
90A32105
Distribution Limits
Public
Copyright
Other

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