Support Vector Machines (SVMs)

Support vector machines (SVMs) are one of the most popular machine learning methods used to classify machine health conditions using the selected feature space. In machine fault detection and diagnosis, SVMs are used for learning special patterns from the acquired signal; then these patterns are cla...

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Podrobná bibliografia

Vydané v:	Condition Monitoring with Vibration Signals s. 259 - 277
Hlavní autori:	Ahmed, Hosameldin, Nandi, Asoke K
Médium:	Kapitola
Jazyk:	English
Vydavateľské údaje:	Chichester, UK Wiley 2019 John Wiley & Sons, Ltd
Vydanie:	1
Predmet:	binary classification problem feature extraction feature selection machine fault diagnosis multiclass SVM approach normalisation support vector machines SVM classifier Support vector machines Training Condition monitoring Vibrations Rotating machines Machine learning Kernel
ISBN:	9781119544623, 1119544629
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