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An improved self‐adaptive filter forecasting method

An improved self‐adaptive filter forecasting method This paper improved the self‐adaptive filter‐forecasting model that is one of deterministic constant parameter forecasting models. An attenuation/gain function is drawn into a direct iteration search method that belongs to the multi‐variables extreme value research based on the optimization theory, so that it combines the quantitative methods with the qualitative analysis by the experts and increases the explanatory ability and simulation level of the original model. As an empirical study, the authors applied the improved method to the forecasting of the middle‐term demand for cellular phones in China. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Integrated Manufacturing Systems Emerald Publishing

An improved self‐adaptive filter forecasting method

Integrated Manufacturing Systems , Volume 10 (2): 5 – Apr 1, 1999

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Publisher
Emerald Publishing
Copyright
Copyright © 1999 MCB UP Ltd. All rights reserved.
ISSN
0957-6061
DOI
10.1108/09576069910257581
Publisher site
See Article on Publisher Site

Abstract

This paper improved the self‐adaptive filter‐forecasting model that is one of deterministic constant parameter forecasting models. An attenuation/gain function is drawn into a direct iteration search method that belongs to the multi‐variables extreme value research based on the optimization theory, so that it combines the quantitative methods with the qualitative analysis by the experts and increases the explanatory ability and simulation level of the original model. As an empirical study, the authors applied the improved method to the forecasting of the middle‐term demand for cellular phones in China.

Journal

Integrated Manufacturing SystemsEmerald Publishing

Published: Apr 1, 1999

Keywords: Cellular communications; China; Forecasting; Models; Product lifecycle

References