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International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK)

Zibo,China,11.26-11.28,2010

ISBN: 978-1-935068-42-6 Scientific Research Publishing, USA

E-Book 2224pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $360

Title: Optimization and Parmeters Estimate Algorithm of GOM(1,1) Model
Source: International Conference on Information, Electronic and Computer Science (ICIECS 2010 E-BOOK) (pp 2139-2142)
Author(s): Hui Zhao, School of Information Science and Technology，Northwest University, xian Shaanxi，China
Abstract: The precision and adaptability of the grey GOM（1,1）forecast model is analyzed. It shows that the selection of initial value has an important effect on the model’s precision. In order to enhance the prediction precision of the grey model, the parmeters estimate method using ant colony algorithm is used, and the two class forms of optimization method are put forward. The unknown constants can be obtained using least square principle. Examples show that the two optimization methods in this paper can improve the prediction precision of the GOM(1,1) model, so the effectiveness and practicability of this method is proved.
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