Referenced Items are not available for this document.
A new generalized GM(1,1) model based on the traditional GM(1,1) model or GGNNM(1,1) model is presented in this paper. The new forecasting model combines the generalized GM(1,1) model and the theory of neural network. The algorithm is given out to solve this new model. Finally, this new model is applied in forecasting the amount of mine gas emission. The forecasting results show that the GGNNM(1,1) model has the advantages in applicability, high forecasting precision and simple in computing.
Published in:
Control and Decision Conference, 2008. CCDC 2008. Chinese
Date of Conference: 2-4 July 2008
- Page(s):
- 97 - 101
- E-ISBN :
- 978-1-4244-1734-6
- Print ISBN:
- 978-1-4244-1733-9
- INSPEC Accession Number:
- 10142719
- Conference Location :
- Yantai, Shandong
- Digital Object Identifier :
- 10.1109/CCDC.2008.4597277
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
