Novel decoupling algorithm based on parallel voltage extreme learning machine (PV-ELM) for six-axis F/M sensors

•A novel decoupling algorithm PV-ELM for improving the performance of the six-axis robotic F/M sensors was proposed.•The effectiveness of the proposed decoupling method was proved by comparing it with traditional methods such as Least-Squares (LS), Support Vector Regression (SVR), BP Neural Network...

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Vydáno v:	Robotics and computer-integrated manufacturing Ročník 57; s. 303 - 314
Hlavní autoři:	Liang, Qiaokang, Long, Jianyong, Coppola, Gianmarc, Zhang, Dan, Sun, Wei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.06.2019 Elsevier BV
Témata:	Algorithms Artificial neural networks Back propagation networks Calibration and decoupling Coupling Decoupling method Electric potential Extreme learning machine Machine learning Multi-axis force/moment sensors Multiaxis Neural networks Robotic sensory system Sensors Support vector machines Extreme learning machine Calibration and decoupling Multi-axis force/moment sensors Robotic sensory system
ISSN:	0736-5845, 1879-2537
On-line přístup:	Získat plný text
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