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Training Recurrent Neural Networks via Dynamical Trajectory-Based Optimization

The dataset used in this paper is a recurrent neural network with one hidden layer. The structure of the network is shown in Fig. 1. The input-output relation of the network is defined as: z(k) = π(u(k) + b z(k-1)), y˗(k) = v z(k).

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Cite this as

Hamid Khodabandehlou, M. Sami Fadali (2024). Dataset: Training Recurrent Neural Networks via Dynamical Trajectory-Based Optimization. https://doi.org/10.57702/h78armzt

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.1016/j.neucom.2019.08.058
Author	Hamid Khodabandehlou
More Authors	M. Sami Fadali