Yihao Wang

MLPFormer: A Hybrid MLP–Transformer Architecture for Component-Specific Time Series Forecasting

MLPFormer provides a practical hybrid artificial intelligence design for forecasting tasks in which trend and residual structures coexist, and confirms that the gains arise from matching encoder capacity to component complexity rather than from increasing parameter count.