The recent developments in microwave design (Q545872)
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scientific article; zbMATH DE number 5912014
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The recent developments in microwave design |
scientific article; zbMATH DE number 5912014 |
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The recent developments in microwave design (English)
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23 June 2011
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Summary: Artificial neural networks have been used as an important technique in microwave modelling and optimisation. This paper gives an overview and recent developments on the knowledge-based neural modelling techniques in microwave modelling and design. The knowledge-based artificial neural networks are constructed by incorporating the existing knowledge such as empirical formulas, equivalent circuit models and semi-analytical equations in neural network structures. When one of the knowledge-based methods can not provide sufficient accuracy, two of them can be used in the same modelling process. This combination of methods is named hybrid technique. Using knowledge-based techniques requires less training data and has better extrapolation performance than classical neural networks. The advantages of using knowledge-based neural network modelling are demonstrated with microwave device modelling applications.
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computer-aided design
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CAD
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mathematical modelling
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microwave devices
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knowledge-based neural networks
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KBNN
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microwave design
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artificial neural networks
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anns
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microwave optimisation
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microwave modelling
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