Cargando…
Stock index trend prediction based on TabNet feature selection and long short-term memory
In this study, we propose a predictive model TabLSTM that combines machine learning methods such as TabNet and Long Short-Term Memory Neural Network (LSTM) with a complete factor library for stock index trend prediction. Our motivation is based on the notion that there are numerous interrelated fact...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746941/ https://www.ncbi.nlm.nih.gov/pubmed/36512541 http://dx.doi.org/10.1371/journal.pone.0269195 |