Log-periodic power law hybrid model based on BP neural network-Reference-Cited by-同舟云学术

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Log-periodic power law hybrid model based on BP neural network

Published:2021-01-14 Issue: Volume: Page:
ISSN:1864-5909
Container-title:Evolutionary Intelligence
language:en
Short-container-title:Evol. Intel.

Author:

Wang Huiqing,Liu Dan,Zhang Jianhui,Wang Jingjing,Ma Yue,Lian Yuanyuan

Funder

National Youth Science Foundation of China

the Scientific and technological project of Shanxi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s12065-020-00552-z.pdf

Reference28 articles.

1. White LJ (2011) Preventing bubbles: What role for financial regulation? Working Pap 31(3):603–619

2. Agrawal JG, Chourasia V, Mittra A (2013) State-of-the-art in stock prediction techniques. Int J Adv Res Electr Electron Instrum Eng 2(4):1360–1366

3. Thenmozhi M, Chand GS (2016) Forecasting stock returns based on information transmission across global markets using support vector machines. Neural Comput Appl 27(4):805–824

4. Al-Askar H, Lamb D, Hussain AJ, Al-Jumeily D, Randles M, Fergus P (2015) Predicting financial time series data using artificial immune system–inspired neural networks. Int J Artif Intell Soft Comput 5(1):45–68

5. Żbikowski K (2015) Using volume weighted support vector machines with walk forward testing and feature selection for the purpose of creating stock trading strategy. Expert Syst Appl 42(4):1797–1805

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