Results 71 to 80 of about 233,583 (184)
Efficient Optimization of Echo State Networks for Time Series Datasets
, 2019 Echo State Networks (ESNs) are recurrent neural networks that only train their output layer, thereby precluding the need to backpropagate gradients through time, which leads to significant computational gains.
Gianniotis, Nikos +2 more
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The Asymptotic Performance of Linear Echo State Neural Networks [PDF]
, 2016 In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks.
Ali, Hafiz Tiomoko +3 more
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Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition
IEEE Access, 2015 In this paper, we approach the problem of forecasting a time series (TS) of an electrical load measured on the Azienda Comunale Energia e Ambiente (ACEA) power grid, the company managing the electricity distribution in Rome, Italy, with an echo state ...
Filippo Maria Bianchi +3 more
doaj +1 more source
Coherent spin control at the quantum level in an ensemble-based optical memory
, 2015 Long-lived quantum memories are essential components of a long-standing goal of remote distribution of entanglement in quantum networks. These can be realized by storing the quantum states of light as single-spin excitations in atomic ensembles. However,
Afzelius, Mikael +6 more
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Training performance of echo state neural networks [PDF]
2016 IEEE Statistical Signal Processing Workshop (SSP), 2016 This article proposes a first theoretical performance analysis of the training phase of large dimensional linear echo-state networks. This analysis is based on advanced methods of random matrix theory. The results provide some new insights on the core features of such networks, thereby helping the practitioner when using them.
Couillet, Romain +3 more
openaire +2 more sources
Reservoir Computing Based Echo State Networks for Ventricular Heart Beat Classification
Applied Sciences, 2019 The abnormal conduction of cardiac activity in the lower chamber of the heart (ventricular) can cause cardiac diseases and sometimes leads to sudden death.
Qurat-ul-ain Mastoi +2 more
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System Identification of multi-rotor UAVs using echo state networks [PDF]
, 2015 Controller design for aircraft with unusual configurations presents unique challenges, particularly in extracting valid mathematical models of the MRUAVs behaviour.
Anderson, David +2 more
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Stock Prediction Based on Phase Space Reconstruction and Echo State Networks
Journal of Algorithms & Computational Technology, 2013 In this paper a synthetic model for stock prediction is proposed based on phase space reconstruction, Echo State Networks (ESN) and Moving Average Convergence/Divergence (MACD).
Huaguang Zhang +2 more
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Exploring Transfer Function Nonlinearity in Echo State Networks
, 2015 Supralinear and sublinear pre-synaptic and dendritic integration is considered to be responsible for nonlinear computation power of biological neurons, emphasizing the role of nonlinear integration as opposed to nonlinear output thresholding.
Goudarzi, Alireza +2 more
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Classification via Tensor Decompositions of Echo State Networks
, 2017 This work introduces a tensor-based method to perform supervised classification on spatiotemporal data processed in an echo state network. Typically when performing supervised classification tasks on data processed in an echo state network, the entire ...
Prater, Ashley
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