DocumentCode
2518415
Title
A hardware training device for forward feed hidden neural networks
Author
Crilly, Paul Benjamin ; Pethel, Shawn D. ; Bowden, Charles M.
Author_Institution
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
fYear
1993
fDate
18-20 May 1993
Firstpage
619
Lastpage
622
Abstract
A hardware device for training multi-hidden-layer neural networks is presented. It is based on a recently developed training algorithm that is an alternative to backpropagation. The new algorithm employs pseudoinverse techniques and preconditioning of the weights. The hardware device is implemented as an accelerator board for a personal computer or workstation and does the calculations via a ROM lookup table
Keywords
feedforward neural nets; learning (artificial intelligence); neural net architecture; ROM lookup table; accelerator board; forward feed hidden neural networks; hardware training; personal computer; preconditioning; pseudoinverse matrix; pseudoinverse techniques; training algorithm; workstation; Backpropagation algorithms; Equations; Feedforward neural networks; Feeds; Instruments; Missiles; Neural network hardware; Neural networks; Neurons; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1993. IMTC/93. Conference Record., IEEE
Conference_Location
Irvine, CA
Print_ISBN
0-7803-1229-5
Type
conf
DOI
10.1109/IMTC.1993.382569
Filename
382569
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