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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| Format: | Article |
| Language: | English |
| Published: |
Wasit University
2015-03-01
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| Series: | Wasit Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://ejuow.uowasit.edu.iq/index.php/ejuow/article/view/35 |
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