Web tension control of multispan roll-to-roll system by artificial neural networks for printed electronics

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 227, Issue 10, 2013, Pages 2361-2376

  Choi, Kyunghyun ^a   Zubair, Muhammad ^a   Ponniah, Ganeshthangaraj ^a  

^a Jeju National University   (South Korea)

Author keywords

backpropagation neural networks; multi input single output; Printed electronics; roll to roll system; tension control; time variant

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; MULTI-INPUT-SINGLE-OUTPUT; PRINTED ELECTRONICS; ROLL-TO-ROLL SYSTEMS; TENSION CONTROLS; TIME VARIANT;

DECENTRALIZED CONTROL; LEARNING ALGORITHMS;

NEURAL NETWORKS;

EID: 84886934109     PISSN: 09544062     EISSN: 20412983     Source Type: Journal    
DOI: 10.1177/0954406212473041     Document Type: Article

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