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 [BibTeX] [Marc21]
A Method for All-Positive Optical Multilayer Perceptrons
Type of publication: Conference paper
Citation: Saxena-96
Booktitle: Proceedings of the Third IEEE International Conference on Electronics, Circuits, and Systems
Volume: 1
Year: 1996
Publisher: IEEE
Location: Rhodos, Greece
Organization: University of Patras
Address: Piscataway, NJ
ISBN: 0-7803-3650-X
Abstract: The most promising approaches for optical neural networks are based on intensity encoding. However, a serious drawback of intensity encoding is the lack of negative values and optical subtraction, which are essential for rendering neural networks useful. To overcome the need for optical subtraction a novel training method is described here that is especially useful for optical multilayer neural networks. In this method, subtraction is implemented as a transformation of the interconnection weights which makes possible the implementation of multilayer perceptrons with optical thresholding. The method is straightforward to implement in optical neural networks where learning occurs under external electronic/computer control.
Userfields: dates={October 13--16, 1996}, ipdmembership={learning},
Projects Idiap
Authors Saxena, Indu
Fiesler, Emile
Moerland, Perry
Added by: [UNK]
Total mark: 0
  • icecs96.pdf