@article {08_MOPT_CORCOLES_CADstackedpatches,
	title = {Cad of stacked patch antennas through multipurpose admittance matrices from FEM and neural networks},
	journal = {Microwave and Optical Technology Letters},
	volume = {50},
	number = {9},
	year = {2008},
	month = {Sep},
	pages = {2411-2416},
	abstract = {In this work, a novel computer-aided design methodology for probe-fed, cavity-backed, stacked microstrip patch antennas is proposed. The methodology incorporates the rigor of a numerical technique, such as finite element methods, which, in turn, makes use of a newly developed procedure (multipurpose admittance matrices) to carry out a full-wave analysis in a given structure in spite of certain physical shapes and dimensions not yet being established. With the aid of this technique, we form a training set for a neural network, whose output is the desired response of the antenna according to the value of design parameters. Last, taking advantage of this neural network, we perform a global optimization through a genetic algorithm or simulated annealing to obtain a final design. The proposed methodology is validated through a real design whose numerical results are compared with measurements with good agreement.},
	keywords = {computer-aided design, finite element methods, neural networks, optimization algorithms, stacked microstrip antennas},
	issn = {1098-2760},
	doi = {10.1002/mop.23670},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/mop.23670/abstract},
	author = {J C{\'o}rcoles and Gonz{\'a}lez, M A and Zapata, J}
}
