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1
Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.09.083
Abstract: Abstract In this paper, an adaptive echo state network control scheme is proposed for a class of constrained pure-feedback systems, in which both input and output constraints are considered simultaneously. A prescribed performance function characterizing…
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Keywords:
state;
echo state;
control;
state network ... See more keywords
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1
Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.069
Abstract: Abstract The echo state network (ESN) is a powerful recurrent neural network for time series modelling. ESN inherits the simplified structure and relatively straightforward training process of conventional neural networks, and shows strong computational capabilities…
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Keywords:
network;
grey wolf;
binary grey;
state network ... See more keywords
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Published in 2020 at "Schizophrenia Research"
DOI: 10.1016/j.schres.2020.03.066
Abstract: Synchronized and coherent activity in resting-networks during normal brain functioning could be altered in disconnection syndrome like schizophrenia. Study of neural oscillations as assessed by EEG appears to be a promising proposition to understand the…
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Keywords:
state;
degree relatives;
first degree;
study ... See more keywords
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1
Published in 2022 at "Chaos"
DOI: 10.1063/5.0119963
Abstract: In the field of complex dynamics, multistable attractors have been gaining significant attention due to their unpredictability in occurrence and extreme sensitivity to initial conditions. Co-existing attractors are abundant in diverse systems ranging from climate…
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Keywords:
parameter;
state network;
echo state;
using echo ... See more keywords
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1
Published in 2023 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/acd8dc
Abstract: For an ordinary echo state network (ESN), redundant information in the huge reservoir will lead to degradation of the prediction performance of the network, especially when the labels of the samples are limited. To solve…
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Keywords:
network;
semi supervised;
partial correlation;
correlation pruning ... See more keywords
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1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2915508
Abstract: With the development of aviation, the air traffic density in the terminal area is high and the traffic situation is relatively complex, which brings challenges to the flight deployment. In order to fully understand the…
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Keywords:
aircraft;
aircraft state;
method;
state network ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3115765
Abstract: Unmanned aerial vehicle (UAV) base stations (BSs) can help meet the dynamic traffic demand of flash mobile crowds, but user movements also pose a significant challenge on fast-tracking for avoiding service interruption. This paper presents…
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Keywords:
state;
deep echo;
prediction;
state network ... See more keywords
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3
Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3155901
Abstract: An echo state network (ESN) draws widespread attention and is applied in many scenarios. As the most typical approach for solving the ESN, the matrix inverse operation of high computational complexity is involved. However, in…
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Keywords:
growing echo;
inverse free;
echo state;
state network ... See more keywords
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Published in 2024 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2023.3305606
Abstract: In the traditional constrained control of nonlinear systems, the controller design usually requires that the initial value of the system meets certain strict conditions, and generally only considers static constraints. This article concentrates on the…
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Keywords:
echo state;
time;
nonlinear systems;
control ... See more keywords
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1
Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2920661
Abstract: An echo state network (ESN) is a type of recurrent neural network that is good at processing time-series data with dynamic behavior. However, the use of ESNs to enhance fault-classification accuracy continues to be challenging…
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Keywords:
feature reinforcement;
fault diagnosis;
state network;
network ... See more keywords
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Published in 2024 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2023.3329076
Abstract: Internet of Vehicles is an intelligent transportation network system with complex and highly distributed characteristics. The ability to share information between vehicles, pedestrians, infrastructure, and the cloud has created rich opportunities for deploying various transportation…
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Keywords:
trust;
echo state;
network;
trust sharing ... See more keywords