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Adaptive RISE Control of Hydraulic Systems With Multilayer Neural-Networks
IEEE transactions on industrial electronics (1982. Print), 2019This paper focuses on developing an advanced nonlinear controller for hydraulic system to achieve asymptotic tracking with various disturbances. To accomplish this study, a multilayer neural-networks (NNs) estimator is first developed to improve the ...
Zhikai Yao, Jianyong Yao, Weichao Sun
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Robust superconductivity in magic-angle multilayer graphene family
Nature Materials, 2022J. Park +6 more
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More is different in real-world multilayer networks
Nature Physics, 2023Manlio De Domenico
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Bending of Multilayer van der Waals Materials.
Physical Review Letters, 2019Out-of-plane deformation patterns, such as buckling, wrinkling, scrolling, and folding, formed by multilayer van der Waals materials have recently seen a surge of interest.
Guorui Wang +8 more
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Highly stretchable multilayer electronic circuits using biphasic gallium-indium
Nature Materials, 2021Shanliangzi Liu +2 more
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Multilayer Graphene Epidermal Electronic Skin.
ACS Nano, 2018Due to its excellent flexibility, graphene has an important application prospect in epidermal electronic sensors. However, there are drawbacks in current devices, such as sensitivity, range, lamination, and artistry.
Y. Qiao +18 more
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Self-Organizing MultiLayer Perceptron
IEEE Transactions on Neural Networks, 2010In this paper, we propose an extension of a self-organizing map called self-organizing multilayer perceptron (SOMLP) whose purpose is to achieve quantization of spaces of functions. Based on the use of multilayer perceptron networks, SOMLP comprises the unsupervised as well as supervised learning algorithms.
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Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
IEEE Transactions on Geoscience and Remote Sensing, 2018This paper proposes a new method, called multilayer stacked covariance pooling (MSCP), for remote sensing scene classification. The innovative contribution of the proposed method is that it is able to naturally combine multilayer feature maps, obtained ...
Nanjun He +4 more
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Multilayer feedforward networks are universal approximators
Neural Networks, 1989K. Hornik, M. Stinchcombe, H. White
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