2026-09-19T18:10:37Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/854362026-06-06T00:55:33Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Cardinal Warde.
Lamson, Andrew Charles
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-03-06T15:41:53Z
2014-03-06T15:41:53Z
2013
2013
http://hdl.handle.net/1721.1/85436
870682708
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 99).
This thesis discusses adapting and testing an LCD as a weight image display for use in the Hybrid Electro-optical Neural Network (HENN). The HENN project is a proof of concept prototype hybrid neural network that will be used to gather information for a more advanced project in the future. After thoroughly explaining the HENN, this thesis characterizes the LCD selected for adaption. Within the characterization is a grouping of experiments that explore different aspects of the LCD screen. Then a few experiments are conducted to evaluate the interactions of the LCD and fiber optic interconnection plate. After this, the method used to generate the weighting image is explained thoroughly. The experimental evidence is gathered to show how the LCD can be used as a weighting system. Then based on the evidence gathered several recommendations are suggested to redesign the fiber plate and further improve the HENN system.
by Andrew Charles Lamson.
M.Eng.
99 pages
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Adapting an LCD for weight generation in an electro-optic neural processor
Adapting a liquid crystal display for weight generation in an electro-optic neural processor
Thesis
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<Abstract>This thesis discusses adapting and testing an LCD as a weight image display for use in the Hybrid Electro-optical Neural Network (HENN). The HENN project is a proof of concept prototype hybrid neural network that will be used to gather information for a more advanced project in the future. After thoroughly explaining the HENN, this thesis characterizes the LCD selected for adaption. Within the characterization is a grouping of experiments that explore different aspects of the LCD screen. Then a few experiments are conducted to evaluate the interactions of the LCD and fiber optic interconnection plate. After this, the method used to generate the weighting image is explained thoroughly. The experimental evidence is gathered to show how the LCD can be used as a weighting system. Then based on the evidence gathered several recommendations are suggested to redesign the fiber plate and further improve the HENN system.</Abstract>
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