Jacobian based nonlinear algorithms for prediction of optimized RF MEMS switch dimensions
This communication discusses the role of nonlinear algorithms in training the neural network, which predicts the optimized RF MEMS switch dimensions. A dedicated dataset, i.e., DrTLN-RF-MEMS-SWITCH-DATASET-v1, was created by considering the most appropriate input and output variable suitable to pred...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer Nature
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107448/ http://dx.doi.org/10.1007/s42341-023-00463-7 |
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