Efficient Resonant Frequency Modeling for Dual-Band Microstrip Antennas by Gaussian Process Regression
A methodology based on Gaussian process regression (GPR) for accurately modeling the resonant frequencies of dual-band microstrip antennas is presented. Two kinds of dual-band antennas were considered, namely a U-slot patch and a patch with a center square slot. Predictive results of high accuracy were achieved (normalized root-mean-square errors of below 0.6% in all cases), even for the square-slot patch modeling problem where all antenna dimensions and parameters were allowed to vary, resulting in a seven-dimensional input space. Training data requirements for achieving these accuracies were relatively modest. Furthermore, the automatic relevance determination property of GPR provided (at no additional cost) a mechanism for enhancing qualitative understanding of the antennas’ resonance characteristics—a facility not offered by neural network-based strategies used in related studies.
ClickMyProject Specifications
|
|
|
Including Packages
|
|
Specialization
|
|
|
* Supporting Softwares |
|
* 24/7 Support |
|
* Complete Source Code |
|
* Ticketing System |
|
* Complete Documentation |
|
* Voice Conference |
|
* Complete Presentation Slides |
|
* Video On Demand * |
|
* Flow Diagram |
|
* Remote Connectivity * |
|
* Database File |
|
* Code Customization ** |
|
* Screenshots |
|
* Document Customization ** |
|
* Execution Procedure |
|
* Live Chat Support |
|
* Readme File |
|
* Toll Free Support * |
|
* Addons |
|
|
|
* Video Tutorials |
|
|
|
|
|
|
|
*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements) |

|
This product was added to our catalog on Thursday 29 September, 2016.