eprintid: 36599 rev_number: 9 eprint_status: archive userid: 1903 dir: disk0/00/03/65/99 datestamp: 2015-07-20 18:36:56 lastmod: 2015-07-20 18:36:56 status_changed: 2015-07-20 18:36:56 type: conference_item metadata_visibility: show creators_name: Robustillo Bayón, Pedro creators_name: Zapata Ferrer, Juan creators_name: Encinar Garcinuño, José Antonio creators_name: Florencio, Rafael creators_name: Rodríguez Boix, Rafael creators_name: Mosig, Juan creators_id: jzapata@etc.upm.es creators_id: encinar@etc.upm.es title: Accurate characterization of multi-resonant reflectarray cells by artificial neural networks ispublished: pub subjects: telecomunicaciones keywords: Reflectarray, artificial neural networks abstract: This paper describes the accurate characterization of the reflection coefficients of a multilayered reflectarray element by means of artificial neural networks. The procedure has been tested with different RA elements related to actual specifications. Up to 9 parameters were considered and the complete reflection coefficient matrix was accurately obtained, including cross polar reflection coefficients. Results show a good agreement between simulations carried out by the Method of Moments and the ANN model outputs at RA element level, as well as with performances of the complete RA antenna designed. date: 2014 date_type: published publisher: IEEE id_number: 10.1109/EuCAP.2014.6902180 full_text_status: public pres_type: paper pagerange: 1935-1937 event_title: 8th European Conference on Antennas and Propagation (EuCAP 2014) event_location: The Hague, Holland event_dates: 06/04/2014 - 11/04/2014 event_type: conference institution: Telecomunicacion department: Senales refereed: TRUE book_title: 8th European Conference on Antennas and Propagation (EuCAP 2014) rights: by-nc-nd citation: Robustillo Bayón, Pedro and Zapata Ferrer, Juan and Encinar Garcinuño, José Antonio and Florencio, Rafael and Rodríguez Boix, Rafael and Mosig, Juan (2014). Accurate characterization of multi-resonant reflectarray cells by artificial neural networks. In: "8th European Conference on Antennas and Propagation (EuCAP 2014)", 06/04/2014 - 11/04/2014, The Hague, Holland. pp. 1935-1937. https://doi.org/10.1109/EuCAP.2014.6902180 . document_url: https://oa.upm.es/36599/1/INVE_MEM_2014_194399.pdf