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Echo state networks trained by Tikhonov least squares are \(L^2(\mu)\) approximators of ergodic dynamical systems - MaRDI portal

Echo state networks trained by Tikhonov least squares are \(L^2(\mu)\) approximators of ergodic dynamical systems (Q2077652)

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Echo state networks trained by Tikhonov least squares are \(L^2(\mu)\) approximators of ergodic dynamical systems
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    Echo state networks trained by Tikhonov least squares are \(L^2(\mu)\) approximators of ergodic dynamical systems (English)
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    21 February 2022
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    reservoir computing
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    liquid state machine
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    time series analysis
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    Lorenz equations
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    delay embedding
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    recurrent neural networks
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