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Нейромережна модель формули збалансованого харчування
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UDC: 004.8.032.26; 57.089
Publication Language: Russian
Stuc. intelekt. 2010; 15(2):131-139
Abstract: The work deals with the problem of automation of decision-making in the construction of a formula of balanced nutrition with the use of artificial intelligence technologies. The technique of constructing neural network model of basic processes of finding the optimal composition of ingredients. We construct a model cluster analysis of input data, the classifier states and approksimatora multidimensional function. The proposed method allows to automate the process of finding the optimum composition of dietary supplements and reduce the degree of subjectivity in the decision-making.
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