ARTIFICIAL NEURAL NETWORK APPROACH FOR THE IDENTIFICATION OF CLOVE BUDS ORIGIN BASED ON METABOLITES COMPOSITION

ARTIFICIAL NEURAL NETWORK APPROACH FOR THE IDENTIFICATION OF CLOVE BUDS ORIGIN BASED ON METABOLITES COMPOSITION

This paper examines the use of an artificial neural network approach in identifying the origin of clove buds based on metabolites composition. Generally, large data sets are critical for an accurate identification. Machine learning with large data sets lead to a precise identification based on origi...

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Bibliographic Details
Main Authors: Rustam, Agus Yodi Gunawan, Made Tri Ari Penia Kresnowati
Format: Article
Language:English
Published: CTU Central Library 2020-11-01
Series:Acta Polytechnica
Subjects:
artificial neural networks
backpropagation
resilient propagation
clove buds
Online Access:https://ojs.cvut.cz/ojs/index.php/ap/article/view/6132

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