Analysis of Gradient Vanishing of RNNs and Performance Comparison
A recurrent neural network (RNN) combines variable-length input data with a hidden state that depends on previous time steps to generate output data. RNNs have been widely used in time-series data analysis, and various RNN algorithms have been proposed, such as the standard RNN, long short-term memo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/12/11/442 |