Predicting the Contribution of Mining Sector to the Gross Domestic Product (GDP) Index Utilizing Heuristic Approaches

Jahanmiri Shirin; Asadizadeh Mostafa; Alipour ArefNowak SamuelSherizaeh Taghi

首页> 外文期刊>Applied artificial intelligence >Predicting the Contribution of Mining Sector to the Gross Domestic Product (GDP) Index Utilizing Heuristic Approaches

【24h】

Predicting the Contribution of Mining Sector to the Gross Domestic Product (GDP) Index Utilizing Heuristic Approaches

机译：Predicting the Contribution of Mining Sector to the Gross Domestic Product (GDP) Index Utilizing Heuristic Approaches

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

GDP is a measure of the size of the economy and how an economy is performing. The mining industry has become a focal point in the total economic picture of many countries; however, the factors affecting the contribution of the mining sector to the growth of GDP (GDP(MS)) have not been investigated in depth yet. In this paper, heuristic approaches were adopted to predict the GDP(MS). Therefore, the effect of three parameters, namely, value added of GDP, the value of industrial output per capita and per capita value added on GDP (MS), has been investigated. For this purpose, the data of countries that are actively participating in the mining industry was applied to a hybrid intelligent technique and an effective model was proposed. The results showed that a combination of a neuro-fuzzy inference system and a genetic algorithm has relatively the best performance to predict GDP(MS). Furthermore, multiple parametric sensitivity analysis was conducted on the output of the model, and the outcomes showed that GDP(MS) is highly sensitive to all three input parameters; also, per capita value added and value added of GDP have the highest and the least effect on GDP(MS), respectively.

著录项

来源
《Applied artificial intelligence》 |2021年第15期|1990-2012|共23页
作者
Jahanmiri Shirin; Asadizadeh Mostafa; Alipour ArefNowak SamuelSherizaeh Taghi;
展开▼
作者单位

Hamedan Univ Technol, Dept Min Engn, Hamadan 65155579, Hamadan, Iran;

Hamedan Univ Technol, Dept Min Engn, Hamadan 65155579, Hamadan, Iran|Missouri Univ Sci & Technol, Dept Min & Nucl Engn, Rolla, MO 65409 USA;

Urmia Univ Technol, Dept Min & Met Engn, Orumiyeh, IranMissouri Univ Sci & Technol, Dept Min & Nucl Engn, Rolla, MO 65409 USA;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

Predicting the Contribution of Mining Sector to the Gross Domestic Product (GDP) Index Utilizing Heuristic Approaches

摘要

著录项

相关主题

期刊订阅