A Bayesian Approach To Consequent Parameter Estimation In Probabilistic Fuzzy Systems And Its Application To Bearing Fault Classification

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)
Original languageEnglish (US)
JournalKnowledge-Based Systems
Volume129
DOIs
StatePublished - 1 May 2017

Cite this

@article{bb0f589746af46239bc890f29b71543d,
title = "A Bayesian Approach To Consequent Parameter Estimation In Probabilistic Fuzzy Systems And Its Application To Bearing Fault Classification",
author = "{Cabrera Mendieta}, {Diego Roman} and {Sanchez Loja}, {Rene Vinicio}",
year = "2017",
month = "5",
day = "1",
doi = "10.1016/J.KNOSYS.2017.05.007",
language = "English (US)",
volume = "129",
journal = "Knowledge-Based Systems",
issn = "0950-7051",
publisher = "Elsevier",

}

TY - JOUR

T1 - A Bayesian Approach To Consequent Parameter Estimation In Probabilistic Fuzzy Systems And Its Application To Bearing Fault Classification

AU - Cabrera Mendieta, Diego Roman

AU - Sanchez Loja, Rene Vinicio

PY - 2017/5/1

Y1 - 2017/5/1

U2 - 10.1016/J.KNOSYS.2017.05.007

DO - 10.1016/J.KNOSYS.2017.05.007

M3 - Article

VL - 129

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

SN - 0950-7051

ER -