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A combination selection algorithm on forecasting

✍ Scribed by Cang, Shuang; Yu, Hongnian

Book ID
122759657
Publisher
Elsevier Science
Year
2014
Tongue
English
Weight
547 KB
Volume
234
Category
Article
ISSN
0377-2217

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## Abstract Based on the theories and methods of self‐organizing data mining, a new forecasting method, called self‐organizing combining forecasting method, is proposed. Compared with optimal linear combining forecasting methods and neural networks combining forecasting methods, the new method can