Abstract
almost all types of analytical sensors have a nonlinear response. We used a neural network to linearize the nonlinear characteristic of an NDIR sensor. A neural network compensates for the nonlinear dependence of the signal on environmental parameters with high accuracy. To demonstrate the capabilities of the proposed approach, we presented the results of an intelligent NDIR sensor for measuring gas concentrations. Simulation experiments showed that the neural network-based NDIR sensor model converted a nonlinear concentration signal with low error.
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