Support vector machine-based soft sensors in the isomerisation process
This paper presents the development of soft sensor empirical models using support vector machine (SVM) for the continual assessment of 2,3-dimethylbutane and 2-methylpentane mole percentage as important product quality indicators in the refinery isomerisation process. During the model development, c...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001102513 |
|---|---|
| Matična publikacija: |
Chemical & biochemical engineering quarterly (Online) 34 (2020), 4 ; str. 243-255 |
| Glavni autori: | Herceg, Srečko (Author), Ujević Andrijić, Željka, Bolf, Nenad |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15255/CABEQ.2020.1825 Chemical & biochemical engineering quarterly (Online) Hrčak |
Održavanje sustava u tijeku
Sustav je trenutačno nedostupan zbog održavanja.
Zapisi o posjedovanju i primjercima trenutačno nisu dostupni. Za više informacija kontaktirajte osoblje knjižnice ili pošaljite upit administratoru:
Internet
https://doi.org/10.15255/CABEQ.2020.1825Chemical & biochemical engineering quarterly (Online)
Hrčak