The object of study is implementation of normalizing converters based on neural network methods to increase the accuracy of temperature measurements with Chromel-Alumel thermocouples (Type K). Detailed analysis of physical and technical limitations of Type K thermocouples is conducted including nonlinearity of characteristic curve, irreversible parameters drift during high-temperature ...