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Design of microwave structures with MEFISTO-3D NOVA and MATLAB optimization and neural network toolboxes
Article first published online: 27 NOV 2006
Copyright © 2006 John Wiley & Sons, Ltd.
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Special Issue: Special Issue on the 6th International Workshop on Computational Electromagnetics in the Time-Domain (CEM-TD)
Volume 20, Issue 1-2, pages 55–64, January - April 2007
How to Cite
Chu, H.-S., So, P. P. M. and Hoefer, W. J. R. (2007), Design of microwave structures with MEFISTO-3D NOVA and MATLAB optimization and neural network toolboxes. Int. J. Numer. Model., 20: 55–64. doi: 10.1002/jnm.630
- Issue published online: 26 DEC 2006
- Article first published online: 27 NOV 2006
- time domain modelling;
- artificial neural network;
- microwave filter
This paper introduces two time-domain field-based optimization procedures for microwave engineering. The methods are built on the foundations of MATLAB's optimization and neural network toolboxes. The first procedure makes use of a direct connection linking MATLAB's optimization toolbox with MEFISTO-3D NOVA. In this approach the field simulator acts as an objective function server for the optimization toolbox; these two programs work cooperatively with each other to tune the structure parameters to obtain a target response. The second procedure is an indirect optimization approach that makes use of MATLAB's neural network toolbox in conjunction with MEFISTO-3D NOVA to create a neural network model to emulate the structure of interest; the resulting neural network model is then used an objective function server in a normal MATLAB optimization process. Copyright © 2006 John Wiley & Sons, Ltd.