Adaptive echo state network control for a class of pure-feedback systems with input and output constraints
Sign Up to like & getrecommendations! 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… read more here.
Keywords: state; echo state; control; state network ... See more keywords
Echo state network optimization using binary grey wolf algorithm
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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… read more here.
Keywords: network; grey wolf; binary grey; state network ... See more keywords
Altered parahippocampal gyrus activation and its connectivity with resting-state network areas in schizophrenia: An EEG study
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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… read more here.
Keywords: state; degree relatives; first degree; study ... See more keywords
Model-free prediction of multistability using echo state network.
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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… read more here.
Keywords: parameter; state network; echo state; using echo ... See more keywords
Semi-supervised echo state network with partial correlation pruning for time-series variables prediction in industrial processes
Sign Up to like & getrecommendations! 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… read more here.
Keywords: network; semi supervised; partial correlation; correlation pruning ... See more keywords
Identification of Key Nodes in Aircraft State Network Based on Complex Network Theory
Sign Up to like & getrecommendations! 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… read more here.
Keywords: aircraft; aircraft state; method; state network ... See more keywords
LEOPARD: Parallel Optimal Deep Echo State Network Prediction Improves Service Coverage for UAV-Assisted Outdoor Hotspots
Sign Up to like & getrecommendations! 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… read more here.
Keywords: state; deep echo; prediction; state network ... See more keywords
Growing Echo State Network With an Inverse-Free Weight Update Strategy.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: growing echo; inverse free; echo state; state network ... See more keywords
Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers
Sign Up to like & getrecommendations! 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… read more here.
Keywords: feature reinforcement; fault diagnosis; state network; network ... See more keywords
Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computation"
DOI: 10.1162/neco_a_01270
Abstract: Surface electromyography (sEMG) is an electrophysiological reflection of skeletal muscle contractile activity that can directly reflect neuromuscular activity. It has been a matter of research to investigate feature extraction methods of sEMG signals. In this… read more here.
Keywords: network; state network; echo state; feature extraction ... See more keywords
Design of a reservoir for cloud-enabled echo state network with high clustering coefficient
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01672-x
Abstract: Reservoir computing (RC) is considered as a suitable alternative for descending gradient methods in recursive neural networks (RNNs) training. The echo state network (ESN) is a platform for RC and nonlinear system simulation in the… read more here.
Keywords: reservoir; clustering coefficient; high clustering; state network ... See more keywords