Forecasting the OECD Fixed Broadband Penetration with Genetic Programming Method, Diffusion Models and Macro-Economic Indicators

Konstantinos Salpasaranis, Vasilios Stylianakis
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引用次数: 1

Abstract

Abstract 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.
预测经合组织固定宽带普及率与遗传规划方法,扩散模型和宏观经济指标
摘要:本文提出了一种改进的遗传规划(GP)方法在预测经济合作与发展组织(OECD)国家固定宽带电信普及率百分比中的实现。具体的GP方法结合了技术预测目的的已知扩散模型的使用,如Logistic, Gompertz和Bass和GP。组合方法产生了具有高性能统计指标的时间依赖模型和因果模型。此外,可以实施多种预测方法,主要是在没有大数据集的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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