Title: The recent developments in microwave design
Authors: Murat Simsek, Qi-Jun Zhang, Humayun Kabir, Yazi Cao, Neslihan Serap Sengor
Addresses: Department of Electronics and Communication Engineering, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey. ' Department of Electronics, Carleton University, Room 5170 Mackenzie Building, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada. ' Department of Electronics, Carleton University, Room 5170 Mackenzie Building, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada. ' Department of Electronics, Carleton University, Room 5170 Mackenzie Building, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada. ' Department of Electronics and Communication Engineering, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
Abstract: 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.
Keywords: computer-aided design; CAD; mathematical modelling; microwave devices; knowledge-based neural networks; KBNN; microwave design; artificial neural networks; ANNs; microwave optimisation; microwave modelling.
DOI: 10.1504/IJMMNO.2011.039429
International Journal of Mathematical Modelling and Numerical Optimisation, 2011 Vol.2 No.2, pp.213 - 228
Published online: 26 Mar 2015 *
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