Open AccessApplication of RS-SVM method in diagnosis of small sample fault of cement rotary kiln
Author(s) -
Yiting Yang,
Mei Canhua,
Mingsan Ouyang
Publication year - 2018
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/439/3/032002
Subject(s) - support vector machine , kiln , fault (geology) , data mining , noise (video) , rough set , curse of dimensionality , artificial intelligence , computer science , pattern recognition (psychology) , sample (material) , statistical learning theory , interference (communication) , identification (biology) , sample space , machine learning , engineering , computer network , channel (broadcasting) , botany , biology , image (mathematics) , chemistry , chromatography , seismology , geology , waste management