Title
Application of the artmap neural network in the design of cascaded gratings and frequency selective surfaces
Abstract
The training of a fuzzy ARTMAP neural network to synthesize a desired frequency is presented and discussed. The fuzzy ARTMAP is faster to train than the back prop and does not require an inversion algorithm to solve the frequency selective surface problem. Results from cascaded gratings for various angles of wave incidence, layer separation, width strips and interstrip separation are presented and discussed.
Publication Date
12-1-1994
Publication Title
IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume
1
Number of Pages
562-565
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0028748515 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0028748515
STARS Citation
Christodoulou, C. G.; Huang, J.; and Georgiopoulos, M., "Application of the artmap neural network in the design of cascaded gratings and frequency selective surfaces" (1994). Scopus Export 1990s. 37.
https://stars.library.ucf.edu/scopus1990/37