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About Time Series Forecasting Using Deep Learning - MATLAB & Simulink
This document describes how to use an LSTM neural network to forecast time series data. It trains an LSTM network on monthly chickenpox case data to predict future cases. The network is trained to predict the next time step given previous time steps. Predictions are made sequentially to forecast multiple future time steps. Updating the network state with observed values improves accuracy over using predicted values.
Detailed Information
| Author: | ['Pradeep Singla'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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