Research on a Prediction Model Based on a Newton–Raphson-Optimization–XGBoost Algorithm Predicting Environmental Electromagnetic Effects for an Airborne Synthetic Aperture Radar

Salvato in:

Dettagli Bibliografici
Pubblicato in:	Electronics vol. 14, no. 11 (2025), p. 2202
Autore principale:	Shen, Yan
Altri autori:	Chen, Yazhou, Wang, Yuming, Ma, Liyun, Zhang, Xiaolu
Pubblicazione:	MDPI AG
Soggetti:	Standard deviation Test systems Signal to noise ratio Prediction models Synthetic aperture radar Optimization Signal processing Electromagnetic interference Antennas Newton-Raphson method Image degradation Algorithms Performance degradation Image quality Parameters Airborne radar Distance learning Reconnaissance Information warfare
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Lascia un commento!