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Dr. Tarek Abdel Rahman Sallam :: Publications: |
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| Title: | Neural network inverse model for multi-band unequal Wilkinson power divider |
| Authors: | Tarek Sallam, Ahmed M Attiya |
| Year: | 2022 |
| Keywords: | Not Available |
| Journal: | COMPEL-The international journal for computation and mathematics in electrical and electronic engineering |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Emerald Publishing Limited |
| Local/International: | International |
| Paper Link: | |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
The purpose of this paper is to build a neural network (NN) inverse model for the multi-band unequal-power Wilkinson power divider (WPD). Because closed-form expressions of the inverse input–output relationship do not exist, the NN becomes an appropriate choice, because it can be trained to learn from the data in inverse modeling. The design parameters of WPD are the characteristic impedances, lengths of the transmission line sections and the isolation resistors. The design equations used to train the NN inverse model are based on the even–odd mode analysis. |
