The recent developments in microwave design Online publication date: Thu, 26-Mar-2015
by Murat Simsek, Qi-Jun Zhang, Humayun Kabir, Yazi Cao, Neslihan Serap Sengor
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 2, No. 2, 2011
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.
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