Design, modeling, and simulation of a Compact Optoelectronic Neural Coprocessor

Microprocessors have substantially increased in speed and computational power over the past two decades. However, they still are unable to solve certain classes of problems efficiently, particularly those which involve the analysis of large noisy data sets such as the case of image processing, feature extraction, and pattern recognition. Substantial research has focused on using neural network algorithms to process this type of data with much success. Most of this effort, however, has resulted in sophisticated neural network-based software algorithms rather than physical neural network hardware. Consequently, most neural network-type processing systems today consist of neural algorithms running on traditional sequential (i.e. Intel-based) microprocessors rather than on actual neurocomputers, and thus achieve less than optimal performance. The objective of the Compact Optoelectronic Neural Coprocessor (CONCOP) project is to build a compact, pixilated, parallel optoelectronic processor capable of running neural network-type algorithms in native hardware.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2006

Author dc:creator

• Simpkins, Travis L. (Travis Lee), 1977-

Advisor dc:contributor.advisor

• Cardinal Warde.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/35530
• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Identifier URI

http://dspace.mit.edu/handle/1721.1/35530

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/35530