Modification of BJT using Artificial Neural Network and implemented it on FPGA

Modification of BJT using Artificial Neural Network and implemented it on FPGA

In this research the performance of the BJT has been improved using the "Feed Forward – Back Propagation Artificial Neural Network" (FFBPANN). The use of this type of networks led to improve the pre specified functions, by widening its bandwidth, improving its sensitivity to the mi...

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Bibliographic Details
Main Author:	Hassan Fahad Khazal
Format:	Article
Language:	English
Published:	Wasit University 2015-03-01
Series:	Wasit Journal of Engineering Sciences
Subjects:	Neural Network FPGA
Online Access:	https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/35
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