Application of Adaptive Neurofuzzy Inference System for calculation of heat power consumption using infrared thermography

@inproceedings{Dudzik2011ApplicationOA,
  title={Application of Adaptive Neurofuzzy Inference System for calculation of heat power consumption using infrared thermography},
  author={Sebastian Dudzik and Waldemar Minkina},
  year={2011}
}
In this paper a new method for calculation of heat power consumption in a heat exchanger is described. The method is based on the analysis of phenomena occurring on the ambient side. The calculation of heat power consumption represents an inverse heat transfer problem [1, 2]. In [3] an artificial neural network was used to approximate the characteristics of a heat exchanger. In this paper an Adaptive Neurofuzzy Inference System (ANFIS), trained with data obtaining from infrared thermography… CONTINUE READING

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