Implementation of linear regression and neural network models for local climate change assessment and forecasting based on time series data

Implementation of linear regression and neural network models for local climate change assessment and forecasting based on time series data

Climate change studies are based on the data processing of the following time series for number of Ukrainian cities: daily precipitation and air temperature from the site of the European Climate Assessment & Dataset (ECA&D) project and monthly carbon dioxide emissions from fossil fuels in th...

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Bibliographic Details
Main Authors: Ya. I. Zyelyk, L. V. Pidgorodetska, S. V. Chornyy, L. M. Kolos, Yu. R. Dykach
Format: Article
Language:English
Published: National Aviation University 2020-12-01
Series:Вісник Астрономічної школи
Subjects:
climate change
carbon dioxide emission
time series prediction
data mining
linear regression
neural network model
single-layer perceptron
Online Access:http://astro.nau.edu.ua/issues/2020_V.16_Iss.2/Zyelyk_et_al.html

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http://astro.nau.edu.ua/issues/2020_V.16_Iss.2/Zyelyk_et_al.html

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