Stock Market Prediction Using Multi-Objective Optimization-Reference-Cited by-同舟云学术

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Stock Market Prediction Using Multi-Objective Optimization

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Computer and Knowledge Engineering (ICCKE)
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Author:

Zolfaghari Mahshid¹,Fadishei Hamid¹,Tajgardan Mohsen²,Khoshkangini Reza³

Affiliation:

1. University of Bojnord,Computer Engineering Department,Bojnord,Iran

2. Qom University of Technology,Faculty of Electrical and Computer Engineering,Qom,Iran

3. Malmö University,Faculty of Technology and Society,Department of Computer Science and Media Technology,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959861/9959975/09960002.pdf?arnumber=9960002

Reference16 articles.

1. Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick

2. Genetic algorithms;eshelman;Evolutionary Computation 1,2018

3. Greedy function approximation: a gradient boosting machine;friedman;Annals of Statistics,2001

4. XGBoost

5. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stock Price Prediction Model Integrating an Improved NSGA-III with Random Forest;Lecture Notes in Computer Science;2024

2. Collaborative Multiobjective Evolutionary Algorithms in the Search of Better Pareto Fronts: An Application to Trading Systems;Applied Sciences;2023-11-19

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