Open AccessForecast Analysis of Instant Noodle Demand using Support Vector Regression (SVR)
Author(s) -
Edy Fradinata,
Zurnila Marli Kesuma,
Siti Rusdiana,
Nurul Amalin Fatihah Kamarul Zaman
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/506/1/012021
Subject(s) - instant , support vector machine , product (mathematics) , mean squared error , quality (philosophy) , demand forecasting , regression , computer science , regression analysis , mean squared prediction error , data mining , econometrics , statistics , machine learning , mathematics , operations research , food science , philosophy , chemistry , geometry , epistemology