Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction

Abstract In this study, the research presents the Federated Learning Enhanced Multi-Layer Perceptron (Fed-MLP) Long Short-Term Memory that is suggested by the research. The research intends to use the LSTM networks extensively that are proficient in spatial dependence capturing and integrate them wi...

Descripció completa

Dades bibliogràfiques

Autors principals:	Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2024-10-01
Col·lecció:	International Journal of Computational Intelligence Systems
Matèries:	Stock market now casting and forecasting Imputation method MLP feature extraction Principal component analysis Long short-term memory
Accés en línia:	https://doi.org/10.1007/s44196-024-00680-9
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!