An Innovative Deep Learning Futures Price Prediction Method with Fast and Strong Generalization and High-Accuracy Research

Futures commodity prices are affected by many factors, and traditional forecasting methods require close attention from professionals and suffer from high subjectivity, slowness, and low forecasting accuracy. In this paper, we propose a new method for predicting the fluctuation in futures commodity...

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Autors principals:	Lin Huo, Yanyan Xie, Jianbo Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-06-01
Col·lecció:	Applied Sciences
Matèries:	chaotic mapping artificial bee colony algorithm long short-term memory futures price prediction
Accés en línia:	https://www.mdpi.com/2076-3417/14/13/5602
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