BIBLIOGRAPHIC RECORD

FORECASTING STOCK PRICES WITH DEEP LEARNING MODELS: A COMPARISON OF LONG-SHORT TERM MEMORY (LSTM), GATED RECURRENT UNIT (GRU), ATTENTION MECHANISM, AND TRANSFORMER MODE

This record contains bibliographic metadata. Open the linked source to check the work; the record does not include its full text.

Recorded authors
ZeTong Li; JiuRu Lyu; ZiHan Wang; Liu Yang
Source of metadata
Crossref
Year recorded
2025

Public identifiers and source

Open the source record

Reference

ZeTong Li; JiuRu Lyu; ZiHan Wang; Liu Yang. (2025). FORECASTING STOCK PRICES WITH DEEP LEARNING MODELS: A COMPARISON OF LONG-SHORT TERM MEMORY (LSTM), GATED RECURRENT UNIT (GRU), ATTENTION MECHANISM, AND TRANSFORMER MODE. https://doi.org/10.61784/jtfe3063

Reference assembled from the available metadata. Check and cite the original publication before reusing a claim.

Permanent record URL: https://brain.psiconautica.org/en/documentos/d-3b93dd9bf6f475d6365d5688dbae2f6b/