COMFORT INDEX CALCULATION USING ARTIFICIAL NEURAL NETWORKS
Client comfort has been and still is one of the most important goals of respectable companies.
The comfort is influenced by several factors, such as air temperature or noise. However, the factor
influence differs sometimes dramatically. Based on statistical data collected using sensors the influence
of each factor can be approximated. In this paper we propose a comfort index calculation based on a
basic artificial neural network which uses an evolutionary algorithm for the training process.
Key words: comfort index, artificial neural networks, evolutionary algorithm
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