An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for Cryptocurrency Forecasting-Reference-Cited by-同舟云学术

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An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for Cryptocurrency Forecasting

Published:2019 Issue: Volume:163 Page:427-433
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Hitam Nor Azizah,Ismail Amelia Ritahani,Saeed Faisal

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. An Analysis of the Cryptocurrency Industry;Farell;Whart. Res. Sch. Journal. Pap.,2015

2. D. L. K. Chuen, Handbook of Digital Currency. 2015.

3. “Developer Guide - Bitcoin.” [Online]. Available: https://bitcoin.org/en/developer-guide#block-chain. [Accessed: 04-Dec-2018].

4. “Litecoin - Open source P2P digital currency.” [Online]. Available: https://litecoin.org/. [Accessed: 04-Dec-2018].

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1. Cryptocurrency as a Slice in Investment Portfolio: Identifying Critical Antecedents and Building Taxonomy for Emerging Economy;Asia-Pacific Financial Markets;2024-09-12

2. Data-Driven Price Trends Prediction of Ethereum: A Hybrid Machine Learning and Signal Processing Approach;Blockchain: Research and Applications;2024-08

3. Wide-TSNet: A Novel Hybrid Approach for Bitcoin Price Movement Classification;Applied Sciences;2024-04-29

4. An Improved Machine Learning-Driven Framework for Cryptocurrencies Price Prediction With Sentimental Cautioning;IEEE Access;2024

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