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DeepVARMA: A Hybrid Deep Learning and VARMA Model for Chemical Industry Index Forecasting
April 30, 2024, 4:42 a.m. | Xiang Li, Hu Yang
cs.LG updates on arXiv.org arxiv.org
Abstract: Since the chemical industry index is one of the important indicators to measure the development of the chemical industry, forecasting it is critical for understanding the economic situation and trends of the industry. Taking the multivariable nonstationary series-synthetic material index as the main research object, this paper proposes a new prediction model: DeepVARMA, and its variants Deep-VARMA-re and DeepVARMA-en, which combine LSTM and VARMAX models. The new model firstly uses the deep learning model such …
abstract arxiv cs.lg deep learning development economic forecasting hybrid index industry material series stat.co stat.me stat.ml synthetic trends type understanding
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