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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yang, G.H. Wu, Q. Fu, J.H. Meng, F.Y. |
| Copyright Year | 2010 |
| Description | Author affiliation: Harbin Institute of Technology, PO Box 341, 92, Xidazhi Street, Harbin, Heilongjiang 150001 China (Yang, G.H.; Wu, Q.; Fu, J.H.; Meng, F.Y.) |
| Abstract | An Efficient modeling technique based on immune algorithm and BP neural network is presented for the design of RF MEMS phase shifter. Three sensitive parameters are selected according to complicated three-dimensional structure design of an RF MEMS phase shifter and used as inputs of neural network. In the model, immune algorithm is first used for global search and then BP algorithm for local search. Experiments show that the proposed approach in this paper is a high efficiency modeling for the RF characteristics analysis for up/down-state of RF MEMS phase shifter. Comparison between improved BP neural network predictions and HFSS simulations show that the root mean square errors, mean absolute errors and maximize absolute errors are less than 1.77dB(5.34o), 2.24dB(5.93o) and 2.60dB(6.19o) respectively. Also, improved BP neural network reduces the training time at least 30 minutes. |
| Starting Page | 1063 |
| Ending Page | 1066 |
| File Size | 145557 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424457052 |
| e-ISBN | 9781424457083 |
| DOI | 10.1109/ICMMT.2010.5525104 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Radiofrequency microelectromechanical systems Phase shifters Neural networks Artificial neural networks Bridge circuits Micromechanical devices Coplanar waveguides Electromagnetic modeling Insertion loss Switches |
| Content Type | Text |
| Resource Type | Article |
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