LQ45 STOCK INDEX PREDICTION USING MACHINE LEARNING (BIDIRECTIONAL LONG-SHORT TERM MEMORY) METHOD WITH HYPERPARAMETER TUNNING
One of the methods that can be applied to predict stock index values is Bidirectional Long-Short Term Memory (BLSTM). In the BLSTM method, information flows forward and backward through the network, allowing for better modeling to anticipate trend patterns and recognize complex patterns based on...
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Main Author: | Timotius Oei, Michael |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/76158 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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