Results 11 to 20 of about 233,583 (184)
Echo state networks are universal [PDF]
Neural Networks, 2018 This paper shows that echo state networks are universal uniform approximants in the context of discrete-time fading memory filters with uniformly bounded inputs defined on negative infinite times. This result guarantees that any fading memory input/output system in discrete time can be realized as a simple finite-dimensional neural network-type state ...
Grigoryeva, Lyudmila, Ortega, Juan-Pablo
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Design of deep echo state networks [PDF]
Neural Networks, 2018 In this paper, we provide a novel approach to the architectural design of deep Recurrent Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir Computing framework and inspired by the principles related to the inherent effect of layering, we address a fundamental open issue in deep learning, namely the question of how
Gallicchio, Claudio +2 more
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Fading memory echo state networks are universal
Neural Networks, 2021 Echo state networks (ESNs) have been recently proved to be universal approximants for input/output systems with respect to various $L ^p$-type criteria. When $1\leq p< \infty$, only $p$-integrability hypotheses need to be imposed, while in the case $p=\infty$ a uniform boundedness hypotheses on the inputs is required.
Lukas Gonon, Juan-Pablo Ortega
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Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks with Mobile Users
IEEE Transactions on Wireless Communications, 2017 In this paper, the problem of proactive caching is studied for cloud radio access networks (CRANs). In the studied model, the baseband units (BBUs) can predict the content request distribution and mobility pattern of each user, determine which content to
Chen, Mingzhe +3 more
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Physics-informed echo state networks [PDF]
Journal of Computational Science, 2020 We propose a physics-informed Echo State Network (ESN) to predict the evolution of chaotic systems. Compared to conventional ESNs, the physics-informed ESNs are trained to solve supervised learning tasks while ensuring that their predictions do not violate physical laws.
Doan, Nguyen Anh Khoa +2 more
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Consistency in echo-state networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2019 Consistency is an extension to generalized synchronization which quantifies the degree of functional dependency of a driven nonlinear system to its input. We apply this concept to echo-state networks, which are an artificial-neural network version of reservoir computing.
Thomas Lymburn +5 more
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Echo state networks as an alternative to traditional artificial neural networks in rainfall–runoff modelling [PDF]
Hydrology and Earth System Sciences, 2013 Despite theoretical benefits of recurrent artificial neural networks over their feedforward counterparts, it is still unclear whether the former offer practical advantages as rainfall–runoff models.
N. J. de Vos
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An Adaptive Algorithm of Input Scale for Deep Echo State Networks [PDF]
Jisuanji gongcheng, 2022 Deep Echo State Networks(DESN) is a combination of Echo State Networks(ESN) and the idea of deep learning.A reasonable selection of internal state matrices and weak integration parameters with different spectral radius can effectively enhance the multi ...
LIU Peng, YE Run, YAN Bin, XIE Qian, LIU Rui
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Sequence Prediction and Classification of Echo State Networks
Mathematics, 2023 The echo state network is a unique form of recurrent neural network. Due to its feedback mechanism, it exhibits superior nonlinear behavior compared to traditional neural networks and is highly regarded for its simplicity and efficiency in computation ...
Jingyu Sun, Lixiang Li, Haipeng Peng
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Enhancing EEG-based emotion recognition using PSD-Grouped Deep Echo State Network [PDF]
Journal of Universal Computer Science, 2023 Emotions are a crucial aspect of daily life and play a vital role in shaping human inter-actions. The purpose of this paper is to introduce a novel approach to recognize human emotions through the use of electroencephalogram (EEG) signals.
Samar Bouazizi +2 more
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