ARTIFICIAL NEURAL NETWORK APPLICATION IN DIFFUSE REFLECTANCE PREDICTION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F13%3A86086645" target="_blank" >RIV/61989100:27360/13:86086645 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
ARTIFICIAL NEURAL NETWORK APPLICATION IN DIFFUSE REFLECTANCE PREDICTION
Original language description
This paper deals with application of artificial neural network in prediction of diffuse reflectance spectra. Spring barley plants were stressed by drought for nine day, during this period spectra of diffuse reflectance were measured. Experimentally measured diffuse reflectance spectra were used as an input data for training, validation and prediction of the artificial neural network. Very good agreement between experimental data and predicted model was achieved. As it is demonstrated artificial neural network may be used as an effective tool for plant spectral properties modelling.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MMK 2013 : Mezinárodní Masarykova konference pro doktorandy a mladé vědecké pracovníky : [9.-13. prosince 2013, Hradec Králové]
ISBN
978-80-87952-00-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
4126-4130
Publisher name
MAGNANIMITAS
Place of publication
Hradec Králové
Event location
Hradec Králové
Event date
Dec 9, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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