Renewable energy company stock dynamics forecast in the period of sustainable development based on Fractal-FOA-LSTM

In stock trend forecasting system, feature selection and model building are two major factors that affect prediction performance. In order to improve the accuracy of prediction and the stability of the model, a stock trend prediction model of Fractal-FOA-LSTM is proposed. Firstly, the features are s...

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Bibliographic Details
Main Authors: Ma Guofeng, Wang Yingjie, Yang Junhong
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/71/e3sconf_wfsdi2021_01065.pdf