The week's pick
Reseach Article
The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 37 - Number 12 |
| Year of Publication: 2012 |
| Authors: Chen-Chun Lin, Chun-Ling Lin, Joseph Z. Shyu, Chin-Teng Lin |
10.5120/4740-6958
|
Chen-Chun Lin, Chun-Ling Lin, Joseph Z. Shyu, Chin-Teng Lin . The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry. International Journal of Computer Applications. 37, 12 ( January 2012), 30-35. DOI=10.5120/4740-6958
Abstract
The Adaptive Network-Based Fuzzy Inference System (ANFIS) has been proven to be efficient for forecasting. To address this concern, this research develops a nonlinear combined forecasting system by ANFIS for predicting the demand of telecommu-nication technology. We investigate the weights assigned to the combined forecast using two linear methods (the Least squares analysis and the Logistic model), as well as one nonlinear me-thods (the Bass model). An empirical data set from 3G technol-ogy development in Taiwan is used to demonstrate the application of the proposed methodology. These results show that the ANFIS method outperforms other individual methods. Also, this proposed work also provides the user with a user interface in which user can fill the query and find the desired forecasting results.
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