Approach to neural-based identification of multisensor conversion characteristic

The neural network based method of individual conversion characteristic identification of multisensor using reduced number of its calibration/testing results is proposed in this paper. The proposed method is based on reconstruction of surface points of multisensor conversion characteristic by modular neural network. Each neural network module reconstructs separate point of the surface. The simulation results show high reconstruction accuracy of the first approximation phase of the method.

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