A novel reconstructed training-set SVM with roulette cooperative coevolution for financial time series classification-Reference-Cited by-同舟云学术

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A novel reconstructed training-set SVM with roulette cooperative coevolution for financial time series classification

Published:2019-06 Issue: Volume:123 Page:283-298
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chao Luo,Zhipeng Jiang,Yuanjie Zheng

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Taishan Scholar Project of Shandong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. Least squares twin support vector machines for pattern classification;Arun Kumar;Expert Systems with Applications,2009

2. Multi-objective artificial bee algorithm based on decomposition by PBI method;Bai;Applied Intelligence,2016

3. Spectral feature extraction of eeg signals and pattern recognition during mental tasks of 2-d cursor movements for bci using svm and ann;Bascil;Australasian Physical & Engineering Sciences in Medicine,2016

4. Competition and collaboration in cooperative coevolution of elman recurrent neural networks for time-series prediction;Chandra;IEEE Transactions on Neural Networks & Learning Systems,2015

5. Choosing multiple parameters for support vector machines;Chapelle;Machine Learning,2002

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