Forecasting the OECD Fixed Broadband Penetration with Genetic Programming Method, Diffusion Models and Macro-Economic Indicators
| Autor: | Vasilios Stylianakis, Konstantinos Salpasaranis |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021103 operations research
Operations research Computer science Gompertz function 0211 other engineering and technologies Genetic programming 02 engineering and technology Economic indicator Broadband 0202 electrical engineering electronic engineering information engineering Econometrics 020201 artificial intelligence & image processing Macro Dependant Technology forecasting Causal model |
| Zdroj: | Image Processing & Communications. 21:47-55 |
| ISSN: | 2300-8709 |
| DOI: | 10.1515/ipc-2016-0004 |
| Popis: | This paper presents the implementation of a modified Genetic Programming (GP) method in forecasting fixed broadband telecommunications penetration percentage in Organisation for Economic Co-operation and Development (OECD) countries. The specific GP method combines the use of known diffusion models for technological forecasting purposes, such as Logistic, Gompertz and Bass and the GP. The combination method produces both time dependant and causal models with high performance statistical indicators. Also, multiple approaches to forecasting can be implemented, mainly with no big datasets. |
| Databáze: | OpenAIRE |
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