Now showing items 1-2 of 2

    • Data Fusion Algorithm in Intelligent Distributed Sensor Networks 

      Sachenko, A.; Kochan, V.; Turchenko, V.; Koval, V. (BPI, 1999)
      The offered data fusion algorithm is based on the averaging information received from reasonable sensors, whose readings always contain errors. The decision can be appliedfor receiving the most correct result about the object condition that is determined by set of various physical measures (coordinate, ...


    • Intelligent System for Prediction of Sensor Drift 

      Golovko, V.; Savitsky, Y.; Sachenko, A.; Kochan, V.; Turchenko, V.; Laopoulos, T.; Grandinetti, L. (BPI, 1999)
      ln this paper the features of neural networks using for improve of measurement accuracy of physical quantities by sensor drift prediction are considered. There is use a technique of data volume increasing for training of predicting neural network by using of separate approximating neural network.