Article

Algorithm for the Development of a Training Set that Best Describes the Objects of Recognition

Mirzoyan KamilovSIC ICT of TUIT, Amir Temur str., 108, Tashkent 100200, UzbekistanMirzaakbar HudayberdievSIC ICT of TUIT, Amir Temur str., 108, Tashkent 100200, UzbekistanKhamroev AlisherTUIT, Amir Temur str., 108, Tashkent 100200, Uzbekistan

Procedia Computer Sciencejournal2019en

ABI

Abstract

This work is a part of the research aimed at developing an algorithm for classifying a family of partial precedence that allows us to evaluate the generalizing ability of the algorithm in the process of its synthesis from empirical data and to manage this process. One of species of tulip has been chosen as an object of research. This process is carried out via morphological features of tulip. The information about tulip is obtained from Central herbarium of the institute of Botany of Uzbek Academy of sciences.

Topics

Engineering and Agricultural Innovations Smart Agriculture and AI

Identifiers

DOI: 10.1016/j.procs.2019.02.024

Citations and references

Cited by 3 9 references

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