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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Bibliographic Details
Main Author: Timotius Oei, Michael
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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