: Research indicates that the cooperative DAE-GRUSA model outperforms standalone GRU or LSTM models in predicting stock market trends. Article Download Options
The primary article related to this model is titled . Download GrUSA pdf
: You can find the publication and related figures, such as the DAE-GRUSA model diagram , on ResearchGate . Other "Grusa" References : Research indicates that the cooperative DAE-GRUSA model
: A version of the article is hosted on PMC for free viewing and download. such as the DAE-GRUSA model diagram
: DAE-GRUSA stands for DeepAutoEncoder-Gated Recurrent Unit Sentiment Analysis . It combines a deep autoencoder (DAE) to denoise historical stock data with Gated Recurrent Units (GRU) to process temporal patterns alongside news sentiment scores.