Process Data Selection Method to Diagnose Abnormal Situation of Plant Using Support Vector Machines

Research output: Contribution to journalArticle

Original languageEnglish
JournalSocially and Technically Symbiotic Systems
Publication statusPublished - 2012

Cite this

@article{31227f37725b434bb5db32de4037e17d,
title = "Process Data Selection Method to Diagnose Abnormal Situation of Plant Using Support Vector Machines",
author = "Kazuhiko Suzuki",
year = "2012",
language = "English",
journal = "Socially and Technically Symbiotic Systems",

}

TY - JOUR

T1 - Process Data Selection Method to Diagnose Abnormal Situation of Plant Using Support Vector Machines

AU - Suzuki, Kazuhiko

PY - 2012

Y1 - 2012

M3 - Article

JO - Socially and Technically Symbiotic Systems

JF - Socially and Technically Symbiotic Systems

ER -