Advanced sensor data integration using neural networks

摘要

Using neural networks for sensor drift prediction is considered in this paper. There are described basis and advanced methods of "historical" data integration and appropriate models of single-layer and multi-layer perceptrons. Simulation modelling results show an improvement of the accuracy of sensor data processing of advanced method in 2-3 times in comparison with basis method.