DocumentCode
513640
Title
Neural Networks for the Design and Reverse Engineering of BJTs
Author
Ferguson, Ryan ; Roulston, David J.
Author_Institution
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
fYear
1996
fDate
9-11 Sept. 1996
Firstpage
969
Lastpage
972
Abstract
We have developed a neural network based software tool, REED (Rapid Engineering of Electron Devices) that maps an electrical description of a bipolar transistor to its physical structure, as described by mask geometries and a doping profile.
Keywords
Backpropagation algorithms; Bipolar transistors; Design engineering; Doping profiles; Electrons; Neural networks; Reverse engineering; SPICE; Semiconductor process modeling; Software tools;
fLanguage
English
Publisher
ieee
Conference_Titel
Solid State Device Research Conference, 1996. ESSDERC '96. Proceedings of the 26th European
Conference_Location
Bologna, Italy
Print_ISBN
286332196X
Type
conf
Filename
5435881
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