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Chaotic Type-2 Transient-Fuzzy Deep Neuro-Oscillatory Network (CT2TFDNN) for Worldwide Financial Prediction

  • Raymond S. T. LeeEmail author
Chapter

Abstract

In this chapter, the author proposed a chaotic type-2 transient-fuzzy deep neuro-oscillatory network with retrograde signaling (aka CT2TFDNN) for worldwide financial prediction.

Notes

Acknowledgements

The author wishes to thank Forex.com and AvaTrade.com for the provision of historical and real-time financial data. The author also wishes to thank Quantum Finance Forecast Center of UIC for the R&D supports and the provision of the channel and platform qffc.org for worldwide system testing and evaluation.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Division of Science and TechnologyBeijing Normal University-Hong Kong Baptist University United International College (UIC)ZhuhaiChina

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