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The aim of our work was to make a metrological analysis of neural network measuring systems for diagnosing a person’s condition. The approach methodology was based on the concept of the proposed class of measuring systems on neural networks for diagnosing of the state of complex objects. They are differ than the software (or software-hardware) implementation of the measuring system with the neural network environment, which is using at present time; considering a neural network as a super numerous channel measuring system; approach to the diagnosis of the state of the object as system measurements of the integral parameter; categorically-operational metrological description of neural network measuring functional converters. We proposed to consider neural networks as ordinary measuring instrument. The description of their operation can be form from the point of view of classical measurements with traditional metrological estimates. The procedure for bringing the neural network measurement methods to the classical ones is most constructed on the basis of formalisms of general algebra, graphs, theory of categories and functors, system and operational approaches. The metrological description of neural networks is based on a consistent description and analysis of measurement errors and their characteristics, which is formed from the accepted representation of the measurement procedure as a sequence of transformations of the input action. We presented some examples of the metrological analysis of neural network measuring systems for diagnosing a person’s condition (acupuncture diagnostics of the bio-object condition, monitoring system of the main vital functions of a person). The categorical operational representation of the metrological description makes it possible to obtain traditional metrological estimates of the process of neural network measurements, to detail various types of errors in measuring transformations (for neurons, neuronal layers and measuring channels), to analyse the influence of the neural network structure on the measurement error, to perform the synthesis of neural network measuring systems with specified metrological characteristics. We can form a quantitative express diagnostics of internal organs, functional systems and the organism as a whole using neural network diagnostic system.
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