A Novel Combined Modelling and Optimization Technique for Microwave Components
This paper presents a novel combined parametric modelling and design optimization technique for microwave components utilizing the neural networks. The proposed technique provides an iterative mechanism between ANN model training and design optimization update. This iterative mechanism is fully auto...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2018-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/285624 |
| _version_ | 1797207770224656384 |
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| author | Yanghua Gao Zhihua Zhang Hailiang Lu |
| author_facet | Yanghua Gao Zhihua Zhang Hailiang Lu |
| author_sort | Yanghua Gao |
| collection | DOAJ |
| description | This paper presents a novel combined parametric modelling and design optimization technique for microwave components utilizing the neural networks. The proposed technique provides an iterative mechanism between ANN model training and design optimization update. This iterative mechanism is fully automated and requires no manual intervention. Furthermore, the proposed technique overcomes the limitations of the common ANN optimization strategy where the fixed training region of the ANN model limits the freedom of design optimization. The proposed technique automatically enlarges the ANN training region until an optimization solution satisfying the user’s design specification is met. Once the whole iterative process is finished, an accurate parametric model and an optimal solution satisfying the design specification are simultaneously generated. A parametric modelling and design optimization example of a wideband QuasiElliptic filter design is presented to demonstrate the validity of this technique. |
| first_indexed | 2024-04-24T09:28:11Z |
| format | Article |
| id | doaj.art-c0d557c5a63b4bd1ad29497f5e96cc05 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:28:11Z |
| publishDate | 2018-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-c0d557c5a63b4bd1ad29497f5e96cc052024-04-15T14:35:07ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392018-01-0125110711110.17559/TV-20170414102806A Novel Combined Modelling and Optimization Technique for Microwave ComponentsYanghua Gao0Zhihua Zhang1Hailiang Lu2Information Center of China Tobacco Zhejiang Industrial Co. Ltd., No. 77, Zhongshan South Road, Hangzhou 310008, ChinaInformation Center of China Tobacco Zhejiang Industrial Co. Ltd., No. 77, Zhongshan South Road, Hangzhou 310008, ChinaInformation Center of China Tobacco Zhejiang Industrial Co. Ltd., No. 77, Zhongshan South Road, Hangzhou 310008, ChinaThis paper presents a novel combined parametric modelling and design optimization technique for microwave components utilizing the neural networks. The proposed technique provides an iterative mechanism between ANN model training and design optimization update. This iterative mechanism is fully automated and requires no manual intervention. Furthermore, the proposed technique overcomes the limitations of the common ANN optimization strategy where the fixed training region of the ANN model limits the freedom of design optimization. The proposed technique automatically enlarges the ANN training region until an optimization solution satisfying the user’s design specification is met. Once the whole iterative process is finished, an accurate parametric model and an optimal solution satisfying the design specification are simultaneously generated. A parametric modelling and design optimization example of a wideband QuasiElliptic filter design is presented to demonstrate the validity of this technique.https://hrcak.srce.hr/file/285624Automatic Neural Networksdesign optimizationmicrowave componentsparametric modelling |
| spellingShingle | Yanghua Gao Zhihua Zhang Hailiang Lu A Novel Combined Modelling and Optimization Technique for Microwave Components Tehnički Vjesnik Automatic Neural Networks design optimization microwave components parametric modelling |
| title | A Novel Combined Modelling and Optimization Technique for Microwave Components |
| title_full | A Novel Combined Modelling and Optimization Technique for Microwave Components |
| title_fullStr | A Novel Combined Modelling and Optimization Technique for Microwave Components |
| title_full_unstemmed | A Novel Combined Modelling and Optimization Technique for Microwave Components |
| title_short | A Novel Combined Modelling and Optimization Technique for Microwave Components |
| title_sort | novel combined modelling and optimization technique for microwave components |
| topic | Automatic Neural Networks design optimization microwave components parametric modelling |
| url | https://hrcak.srce.hr/file/285624 |
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