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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2737459
Abstract: Production quality indices of complex industrial processes are usually hard to be measured in real time, which leads to unavailability of closed-loop operational optimization and control. Therefore, data-driven modeling techniques have been extensively employed to…
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Keywords:
functional link;
network;
vector functional;
robust regularized ... See more keywords
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Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2588526
Abstract: Deep neural network-based methods have recently achieved excellent performance in visual tracking task. As very few training samples are available in visual tracking task, those approaches rely heavily on extremely large auxiliary dataset such as…
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Keywords:
functional link;
network;
vector functional;
visual tracking ... See more keywords
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Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2726143
Abstract: Random vector functional-link (RVFL) networks are randomized multilayer perceptrons with a single hidden layer and a linear output layer, which can be trained by solving a linear modeling problem. In particular, they are generally trained…
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Keywords:
vector functional;
functional link;
random vector;
data modeling ... See more keywords
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Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3213628
Abstract: Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. Our present work first fills the gap of dRVFL and…
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Keywords:
regression;
edrvfl;
random;
deep random ... See more keywords