Genetic Feature Selection Applied to KOSPI and Cryptocurrency Price Prediction
Feature selection reduces the dimension of input variables by eliminating irrelevant features. We propose feature selection techniques based on a genetic algorithm, which is a metaheuristic inspired by a natural selection process. We compare two types of feature selection for predicting a stock mark...
Main Authors: | Dong-Hee Cho, Seung-Hyun Moon, Yong-Hyuk Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/9/20/2574 |
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