A remanufacturing cost prediction model of used parts considering failure characteristics

•Developing a remanufacturing cost prediction model of used parts considering failure characteristics.•The model combines least squares support vector regression (LS-SVR) with semi-supervised learning method, which can make an accurate remanufacturing cost prediction with a small remanufacturing sam...

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Veröffentlicht in:	Robotics and computer-integrated manufacturing 2019-10, Vol.59, p.291-296
Hauptverfasser:	Zhang, Xugang, Ao, Xiuyi, Jiang, Zhigang, Zhang, Hua, Cai, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Failure Failure characteristics Least squares support vector regression Machine learning Regression analysis Remanufacturing Remanufacturing cost prediction Semi-supervised learning Support vector machines
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