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Sep, 2023
单调神经常微分方程：累积数据的时间序列预测
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
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Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang...
TL;DR
基于神经常微分方程模型的模态（MODE）可有效地捕捉和表示实际累积数据中的单调性和不规则性，并展现出卓越的预测性能。
Abstract
time-series forecasting
based on
cumulative data
(TSFCD) is a crucial problem in decision-making across various industrial scenarios. However, existing
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