The group method of data handling (GMDH) algorithm presented by A. C. Ivakhnenko and colleagues is an heuristic self-organization method. It establishes the input±output relationship of a complex system using a multilayered perception-type structure that is similar to a feed-forward multilayer neura
Combination of forecasts using self-organizing algorithms
✍ Scribed by Changzheng He; Xiaozhan Xu
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 89 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.942
No coin nor oath required. For personal study only.
✦ Synopsis
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 improve the forecasting capability of the model. The superiority of the new method is justified and demonstrated by real applications. Copyright © 2005 John Wiley & Sons, Ltd.
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