Global ETD Search
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Showing 1 to 2 of 2 for “"Nonlinear Autoregressive network with Exogenous inputs"”.
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On the induction of temporal structure by recurrent neural networks
… to model human language. Simple Recurrent Networks (SRNs) are a class of so-called artificial neural networks that have a long history in language modelling via learning to predict the next word in a sentence. However, SRNs have also been shown to suffer from catastrophic forgetting, lack …
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Wind Speed Forecasting for Power Generation Using a Self-Assembling Closed-Loop Recurrent Neural Network
… presents the self-assembling recurrent neural network, SFA (Sequential Function Approximation), as a time series forecasting method for wind speed prediction. We compare its multi-step prediction performance against a proven recurrent neural network, NARX (Non-linear Auto-Regressive neural …