In-Ear EEG Based Attention State Classification Using Echo State Network [PDF]
Brain Sciences, 2020 It is important to maintain attention when carrying out significant daily-life tasks that require high levels of safety and efficiency. Since degradation of attention can sometimes have dire consequences, various brain activity measurement devices such ...
Dong-Hwa Jeong, Jaeseung Jeong
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Echo State Condition at the Critical Point
Entropy, 2016 Recurrent networks with transfer functions that fulfil the Lipschitz continuity with K = 1 may be echo state networks if certain limitations on the recurrent connectivity are applied.
Norbert Michael Mayer
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A deep reinforcement based echo state network for network intrusion classification. [PDF]
PLoS ONENetwork intrusion classification referred to the process of monitoring and analyzing network traffic to identify suspicious activities or attacks.
Khorshed Alam +2 more
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Brain-inspired modular echo state network for EEG-based emotion recognition [PDF]
Frontiers in NeurosciencePrevious studies have successfully applied a lightweight recurrent neural network (RNN) called Echo State Network (ESN) for EEG-based emotion recognition.
Liuyi Yang +5 more
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Online learning fuzzy echo state network with applications on redundant manipulators [PDF]
Frontiers in NeuroroboticsRedundant manipulators are universally employed to save manpower and improve work efficiency in numerous areas. Nevertheless, the redundancy makes the inverse kinematics of manipulators hard to address, thus increasing the difficulty in instructing ...
Yanqiu Li, Huan Liu, Hailong Gao
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A priori data-driven multi-clustered reservoir generation algorithm for echo state network. [PDF]
PLoS ONE, 2015 Echo state networks (ESNs) with multi-clustered reservoir topology perform better in reservoir computing and robustness than those with random reservoir topology.
Xiumin Li +3 more
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Sentiment analysis with echo state network and augmented water cycle algorithm [PDF]
Scientific ReportsSentiment analysis using machine learning has become increasingly popular and has received considerable attention in recent years. The sentiment analysis is a critical and challenging task, which require networks with high accuracy.
Lili Zhang, Abbas Habibi
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An Operational Framework for Affect-Adjacent Structure in Plant–Environment Interaction [PDF]
BioengineeringPlants exhibit complex internal dynamics in response to environmental conditions, yet whether these dynamics reflect structured affective regimes remains unclear.
Benjamin Calvert +2 more
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Multiple-Reservoir Hierarchical Echo State Network
Mathematics, 2023 Leaky Integrator Echo State Network (Leaky-ESN) is a useful training method for handling time series prediction problems. However, the singular coupling of all neurons in the reservoir makes Leaky-ESN less effective for sophisticated learning tasks.
Shuxian Lun +3 more
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Research on predictive control of energy saving for central heating based on echo state network
Energy Reports, 2023 It is very important for energy conservation and environmental protection to realize energy-saving control of central heating system by prediction method.
Li Liu +5 more
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