LSTM hyperparameter configuration.

<div><p>With the increasing complexity and prosperity of global financial markets, stock market forecasting plays a critical role in investment decision-making, market regulation, and economic planning. This study proposes a hybrid prediction model that integrates Genetic Algorithm (GA),...

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Bibliographic Details
Main Author:	Wu Huiyong (21743545) (author)
Other Authors:	Zunlong Wang (22133109) (author)
Published:	2025
Subjects:	Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified provides valuable insights integrates genetic algorithm global financial markets experimental results demonstrate effective modeling strategy conduct local refinement capture nonlinear dependencies perform global search div >< p lstm hyperparameter optimization hybrid prediction model lstm </ p search space lstm model time series term patterns term memory superior ability study proposes rmse ), research offers proposed model predictive accuracy neural networks market regulation investment decision initial population increasing complexity generalization capability economic planning critical role
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LSTM hyperparameter configuration.

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