Title :
A Resilient Backpropagation Neural Network based Phase Correction System for Automatic Digital AC Bridges
Author :
Dutta, M. ; Cbatterjee, A. ; Rakshit, A.
Author_Institution :
Dept. of Electr. Eng., Jadavpur Univ., Kolkata
Abstract :
The present paper describes the development of an ANN based phase correction system which has been employed in conjunction with a real automatic digital ac bridge. The proposed ANN-based phase corrector has been developed using backpropagation learning employing resilient backpropagation (popularly known as RPROP). Significant improvements have been obtained in the proposed phase correction system for measuring impedance and reported in the paper
Keywords :
backpropagation; electric impedance measurement; neural nets; automatic digital AC bridges; backpropagation neural network; impedance measurement; phase correction system; Artificial neural networks; Backpropagation; Bridge circuits; Frequency estimation; Impedance measurement; Instruments; Least squares approximation; Neural networks; Phase measurement; Voltage;
Conference_Titel :
Precision Electromagnetic Measurements Digest, 2004 Conference on
Conference_Location :
London
Print_ISBN :
0-7803-8494-6
Electronic_ISBN :
0-7803-8494-6
DOI :
10.1109/CPEM.2004.305621
