FIELD: measurement technology. SUBSTANCE: method includes measurement of transducer output quantities at different combinations of input ones and their reverse conversion into output-quantity values being evaluated involving approximation of transducer transfer functions, and also measurement of input quantities with aid of standard measuring channels. Novelty is that approximation is made in instruction system with aid of artificial neuron network of calibrating unit. Instruction-system comparison unit functions to compare estimates of input quantities with those measured in standard measuring channels for compliance with desired requirements to accuracy of input-quantity estimates, and weights of errors occurring in vicinity of transducer working points are determined for each measuring channel by means of artificial neuron network of instruction-system adjustment unit. Activity of latent-layer neurons in artificial neuron network of instruction-system calibration functions unit is controlled including weights of errors minimizing functional of complete approximation error. EFFECT: enhanced measurement accuracy throughout entire range of quantities being measured. 3 cl, 2 dwg
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Authors
Dates
2003-02-20—Published
2002-04-11—Filed