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

Nor Azizah Hitam; Amelia Ritahani Ismail; Faisal Saeed

doi:10.1016/j.procs.2019.12.125

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

Nor Azizah Hitam, Amelia Ritahani Ismail^*, Faisal Saeed

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

65 Citations (SciVal)

Original language	English
Pages (from-to)	427-433
Number of pages	7
Journal	Procedia Computer Science
Volume	163
DOIs	https://doi.org/10.1016/j.procs.2019.12.125
Publication status	Published (VoR) - 2019
Event	16th International Learning and Technology Conference, L and T 2019 - Jeddah, Saudi Arabia Duration: 30 Jan 2019 → 31 Jan 2019

Funding

This research was supported by the IIUM Research Initiative Grants Scheme (RIGS): RIGS16-346-0510.

Funders	Funder number
International Islamic University Malaysia	RIGS16-346-0510

Keywords

Artificial Intelligence
Cryptocurrency
Machine Learning
Particle Swarm Optimization
Support Vector Machines

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10.1016/j.procs.2019.12.125

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

keywords = "Artificial Intelligence, Cryptocurrency, Machine Learning, Particle Swarm Optimization, Support Vector Machines",

author = "Hitam, \{Nor Azizah\} and Ismail, \{Amelia Ritahani\} and Faisal Saeed",

note = "Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier B.V.; 16th International Learning and Technology Conference, L and T 2019 ; Conference date: 30-01-2019 Through 31-01-2019",

year = "2019",

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language = "English",

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AU - Hitam, Nor Azizah

AU - Ismail, Amelia Ritahani

AU - Saeed, Faisal

PY - 2019

Y1 - 2019

KW - Artificial Intelligence

KW - Cryptocurrency

KW - Machine Learning

KW - Particle Swarm Optimization

KW - Support Vector Machines

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U2 - 10.1016/j.procs.2019.12.125

DO - 10.1016/j.procs.2019.12.125

M3 - Conference article

AN - SCOPUS:85081157658

VL - 163

SP - 427

EP - 433

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 16th International Learning and Technology Conference, L and T 2019

Y2 - 30 January 2019 through 31 January 2019

ER -

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

Funding

Keywords

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