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POSTER Session : 좌장 : 이우찬 교수(인천대학교)

RNN-based Prediction for Multi-Cryptocurrency Price Correlation

초록

영어

Cryptocurrencies based on blockchain have been developed to form crypto market which is volatile in nature. To solve the issue of unsecure investment a deep learning model based on time series data is proposed predict price trend and compute correlation for creating secure portfolio of an investor.

목차

Abstract
Introduction
Correlation Model Design
Model Verification
Conclusion
Acknowledgement
References

저자정보

  • Wahidur Rahmano 광주과학기술원
  • Muhammad Ahmad Rathore 광주과학기술원
  • Istiaque Ahmed 광주과학기술원
  • Heung-No Lee 이흥노. 광주과학기술원

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