Abstract: We proposes a new normalization method, Sparse Group Normalization (SG-Norm), which aims to address the computational efficiency bottleneck faced by deep neural networks when processing ...

Abstract: This study examines the impact of six normalization techniques and nine additional technical indicators on recursive Transformer models for stock market prediction across four sectors: S&P ...