Abstract
A new optical architecture is described for the realization of distance-based classifiers and, in particular, radial basis function classifiers. This new system uses spatial multiplexing to improve computation speed while simple parallel postprocessing electronics are used to provide on-line learning in the optical neural network. This architecture is compared with a previous optical system which realized a radial basis function classifier in the solution of the handwritten digit recognition problem.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Publisher | Publ by Int Soc for Optical Engineering |
| Pages | 250-255 |
| Number of pages | 6 |
| Edition | pt 1 |
| ISBN (Print) | 0819405787 |
| State | Published - Jan 1 1991 |
| Event | Applications of Artificial Neural Networks II - Orlando, FL, USA Duration: Apr 2 1991 → Apr 5 1991 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Number | pt 1 |
| Volume | 1469 |
| ISSN (Print) | 0277-786X |
Other
| Other | Applications of Artificial Neural Networks II |
|---|---|
| City | Orlando, FL, USA |
| Period | 4/2/91 → 4/5/91 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Neifeld, M. A., Rakshit, S., & Psaltis, D. (1991). Handwritten zip code recognition using an optical radial basis function classifier. In Proceedings of SPIE - The International Society for Optical Engineering (pt 1 ed., pp. 250-255). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1469, No. pt 1). Publ by Int Soc for Optical Engineering.