@inproceedings{76e39f66f4974098ab895a8cc98a6b66,
title = "Frequency selective surface design using neural networks inversion based on parametrized representations",
abstract = "A parametric model of a frequency selective surface (FSS) is presented. By using a parametric representation of the FSS, one can simplify the process of designing an FSS for a given response by embedding constraints into the input data representation, thus avoiding the need for the constraint satisfaction mechanism. A parametric representation of an FSS made up of a dipole array is considered as an example.",
author = "Davis, \{D. T.\} and Chan, \{C. H.\} and Hwang, \{J. N.\}",
year = "1991",
language = "English",
isbn = "780301447",
volume = "1",
publisher = "IEEE",
pages = "200--203",
booktitle = "AP-S International Symposium (Digest) (IEEE Antennas and Propagation Society)",
address = "United States",
note = "Antennas and Propagation Society Symposium ; Conference date: 24-06-1991 Through 28-06-1991",
}