Simulation modeling of multi-parameter sensor signal identification using neural networks
Iryna Turchenko · 2004
In this study it is described the possibility of artificial neural network usage for recognition of a signal of multi-parameter sensor. There is denoted general structure of data acquisition channel with usage of neural networks as well as mathematical model of output signal of multi-parameter sensor. The model of neural network, training algorithm and achieved results of the simulation modeling of multi-parameter sensor signal recognition using MATLAB software are presented in the end of this paper.