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About Forecasting LSTM - Hybrid Actvation Forex
This document discusses applying deep learning, specifically LSTM neural networks, to predict trends in foreign exchange markets. It introduces a new validation method for LSTM models trained on time series data. The author also proposes a novel LSTM algorithm using hybrid activation functions within the same hidden layer to improve prediction accuracy of forex trends. Experiments show this approach outperforms a standard LSTM.
Detailed Information
| Author: | ['Aditya Pratama'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 185 |
| Language: | English |
| Format: | |
| Price: | FREE |
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