z-logo
open-access-imgOpen Access
Global piston restoration of segmented mirrors with recurrent neural networks
Author(s) -
Dailos Guerra-Ramos,
Juan M. Trujillo-Sevilla,
José Manuel Rodríguez-Ramos
Publication year - 2020
Publication title -
osa continuum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.592
H-Index - 8
ISSN - 2578-7519
DOI - 10.1364/osac.387358
Subject(s) - piston (optics) , convolution (computer science) , residual , convolutional neural network , reliability (semiconductor) , consistency (knowledge bases) , artificial neural network , computer science , tilt (camera) , polishing , artificial intelligence , range (aeronautics) , intersection (aeronautics) , recurrent neural network , set (abstract data type) , sequence (biology) , algorithm , pattern recognition (psychology) , optics , wavefront , mathematics , engineering , physics , geometry , mechanical engineering , aerospace engineering , power (physics) , quantum mechanics , biology , genetics , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom