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Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach

Research article (IEEE Access, 2023) · cited 19× · AI/ML
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Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach

Summary

Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach is a scholarly article[1].

Key Facts

  • Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-chinese-commodity-futures-price-an-eemd-hurst-lstm-hybrid-approach
MLA “Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-chinese-commodity-futures-price-an-eemd-hurst-lstm-hybrid-approach.
BibTeX @misc{4ortxyz_predicting-chinese-commodity-futures-price-an-eemd-hurst-lstm-hybrid-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-chinese-commodity-futures-price-an-eemd-hurst-lstm-hybrid-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Chinese Commodity Futures Price: An EEMD-Hurst-LSTM Hybrid Approach — https://4ort.xyz/entity/predicting-chinese-commodity-futures-price-an-eemd-hurst-lstm-hybrid-approach (retrieved 2026-05-24)

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