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Evaluation of Spectral Learning for the Identification of Hidden Markov Models
The dataset used in the paper is a collection of numerical examples for evaluating the performance of the spectral learning algorithm for identifying hidden Markov models. -
Synthetic dataset for DPC
Synthetic dataset used for training the neural control law. -
Building physics emulator time series dataset
Time series dataset obtained from the measurements of the system dynamics, used for system identification and control law learning. -
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...
