A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting

标题
A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting
作者
关键词
Support vector machine (SVM), Teaching–learning-based optimization (TLBO), Commodity futures contract, Financial time series
出版物
出版商
Springer Nature
发表日期
2015-04-20
DOI
10.1007/s13042-015-0359-0

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