Application of the artificial neural network technology to predicting floristic parameters of herbarium labels
V.I. Krasinsky
Novosibirsk
Pages: 55–62
Abstract
Results of classifying documents of a botanical database of herbarium labels in terms of two qualitative features on the basis of one mathematical method of artificial intelligence, theory of artificial neural networks, are presented. The values of the qualitative target feature of other documents in this database were predicted, which revealed several errors in the documents.
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