DTMamba : Dual Twin Mamba for Time Series Forecasting

TL;DR

This paper introduces DTMamba, a dual twin Mamba model designed for time series forecasting, demonstrating promising performance through experimental evaluation.

Contribution

The paper presents a novel dual twin Mamba architecture specifically tailored for improved time series forecasting accuracy.

Findings

Model achieves superior forecasting accuracy compared to baseline methods

Experimental results validate the effectiveness of DTMamba

Model demonstrates robustness across different datasets

Abstract

We utilized the Mamba model for time series data prediction tasks, and the experimental results indicate that our model performs well.