
APPLICATION OF NEURAL NETWORKS IN REGRESSION PROBLEMS WITH QUALITATIVE DATA ON AN EXAMPLE OF GEMSTONES VALUATION
(STEF92 Technology, 2018, Janusz Morajda)
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The paper considers a problem of gemstones valuation, based on real data. The main goal includes constructing a model that determines the evaluated price of a given stone on the basis of its description, expressed as a set of input variables values. A classic approach, utilising a multiple linear regression tool, is compared with nonlinear multilayer perceptrons. As the dataset contains a number of qualitative variables (e.g. gemstone colour purity, the clarity of the structure and a symbol of the certifying autho...
