Articles with "robust neural" as a keyword



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Robust neural networks with random weights based on generalized M-estimation and PLS for imperfect industrial data modeling

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Published in 2020 at "Control Engineering Practice"

DOI: 10.1016/j.conengprac.2020.104633

Abstract: Abstract Actual industrial data inevitably contain a variety of outliers for various reasons. Even a single outlier may have a large distortion effect on modeling performance with conventional algorithms, not to mention the complicated process… read more here.

Keywords: generalized estimation; industrial data; robust neural; imperfect industrial ... See more keywords
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Event-triggered robust neural control for unmanned sail-assisted vehicles subject to actuator failures

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Published in 2020 at "Ocean Engineering"

DOI: 10.1016/j.oceaneng.2020.107754

Abstract: Abstract This note focus on the waypoints-based path-following control for the unmanned sail-assisted vehicles (USAV), aiming to release the constraints of the actuator failures and gain uncertainties. The proposed scheme is formulated as two components,… read more here.

Keywords: robust neural; control; sail; actuator ... See more keywords
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Robust Neural Interfaces with Photopatternable, Bioadhesive, and Highly Conductive Hydrogels for Stable Chronic Neuromodulation.

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Published in 2023 at "ACS nano"

DOI: 10.1021/acsnano.2c04606

Abstract: A robust neural interface with intimate electrical coupling between neural electrodes and neural tissues is critical for stable chronic neuromodulation. The development of bioadhesive hydrogel neural electrodes is a potential approach for tightly fixing the… read more here.

Keywords: chronic neuromodulation; robust neural; stable chronic; neural electrodes ... See more keywords
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Robust Neural Tracking Controller Design for a Class of Discrete-Time Nonlinear Systems Under Arbitrary Switching

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2020.3048379

Abstract: In this article, the problem of robust tracking control is investigated for a class of discrete-time switched nonlinear uncertain system in strict-feedback form, and a novel robust neural tracking control scheme through backstepping technique is… read more here.

Keywords: discrete time; time; time nonlinear; robust neural ... See more keywords
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Robust Neural Relation Extraction via Multi-Granularity Noises Reduction

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Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2020.2964747

Abstract: Distant supervision is widely used to extract relational facts with automatically labeled datasets to reduce high cost of human annotation. However, current distantly supervised methods suffer from the common problems of word-level and sentence-level noises,… read more here.

Keywords: robust neural; granularity noises; relation; sentence ... See more keywords
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Robust Neural Control for Dynamic Positioning Ships With the Optimum-Seeking Guidance

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Published in 2017 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2016.2628859

Abstract: This paper deals with the optimum dynamic positioning control problem for marine ships in the presence of actuator gain uncertainties and unknown environmental disturbances. The proposed approach is formulated as two modules, i.e., the guidance… read more here.

Keywords: optimum seeking; robust neural; control; seeking guidance ... See more keywords
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Robust neural tracking of linguistic units relates to distractor suppression

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Published in 2019 at "European Journal of Neuroscience"

DOI: 10.1111/ejn.14552

Abstract: In a complex auditory scene, speech comprehension involves several stages: for example segregating the target from the background, recognizing syllables and integrating syllables into linguistic units (e.g., words). Although speech segregation is robust as shown… read more here.

Keywords: neural tracking; robust neural; distractor suppression; linguistic units ... See more keywords