Design of a novel wideband microstrip diplexer using artificial neural network
In this paper, we use an artificial neural network (ANN) to design a compact microstrip diplexer with wide fractional bandwidths (FBW) for wideband applications. For this purpose, a multilayer perceptron neural network model trained with the back-propagation algorithm is used. First, a novel resonat...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer New York LLC
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/88498/ http://dx.doi.org/10.1007/s10470-019-01510-1 |
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