A Resilient Backpropagation Neural Network based Phase Correction System for Automatic Digital AC Bridges

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