On the Suitability of Long Short-Term Memory Networks for Time Series Forecasting

On the Suitability of Long Short-Term Memory Networks for Time Series Forecasting

Long Short-Term Memory (LSTM) is a type of recurrent neural network that can learn the order dependence between items in a sequence. LSTMs have the promise of being able to learn the context required to make predictions in time series forecasting problems, rather than having this context pre-specified and fixed. Given the promise, there is […]

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