Abstract
An approximation method for calculating thermal energy, based on the use of neuro-fuzzy calculations is considered. Method for applying approaches based on the concepts of artificial intelligence to improve the accuracy of energy calculations based on periodically obtained data on metering parameters is described. An assessment is made of the accuracy of the operation of a neuro-fuzzy system when approximating equations that describe the physical dependence on several parameters of the environment. The reasons that limit the use of neuro-fuzzy systems in approximation problems are analysed.
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