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Modeling of continuous time dynamical systems with input by recurrent neural networks

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Publication:2723602
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DOI10.1109/81.841860zbMath0972.93002OpenAlexW2143970285MaRDI QIDQ2723602

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Publication date: 8 July 2001

Published in: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/81.841860


zbMATH Keywords

modellingapproximationcontinuous-time recurrent neural network


Mathematics Subject Classification ID

Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (6)

Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models ⋮ Codimension-2 parameter space structure of continuous-time recurrent neural networks ⋮ Synthesis of recurrent neural networks for dynamical system simulation ⋮ Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks ⋮ Unnamed Item ⋮ Parameter Space Structure of Continuous-Time Recurrent Neural Networks




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