A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting
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Title
A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting
Authors
Keywords
Support vector machine (SVM), Teaching–learning-based optimization (TLBO), Commodity futures contract, Financial time series
Journal
International Journal of Machine Learning and Cybernetics
Volume 9, Issue 1, Pages 97-111
Publisher
Springer Nature
Online
2015-04-20
DOI
10.1007/s13042-015-0359-0
References
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