An artificial neural network approach is proposed for simultaneous measurement of bending and temperature. The RMS errors of the measured bending curvature and temperature were 0.0072m−1 and 0.1898°C by measuring the dips of two gratings.

© 2006 IEICE

PDF Article


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription