Machine‑learning‑based shape estimation of deployable RF antennas using temperature data
Thermally induced surface deformation can degrade the performance of large deployable radio-frequency antennas, motivating methods for in situ shape estimation. Previous work demonstrated that a feed-forward neural network (NN) could predict panel deformation from sparse temperature measurements; however, the accuracy...