Earticle

초록

영어

With the development of Chinese economics, there is an increasing tendency that people have the abilities to purchase private vehicles. However, the increase of private vehicles rapidly increases the air pollution. Therefore, it is necessary that we should study the change regulation of the private vehicle ownership in Chinese area. Due to the impact factors of the change regulation of the private vehicle ownership is various and uncertain, we should take various factors into consideration as much as possible. In this article, we take 11 indicators as the independent variables, while the private vehicle ownership as the dependent variable. Multiple linear regression (MLR) model and artificial neural networks (ANNs) models were developed respectively in order to predict the private vehicle ownership. As an alternative model, we developed grey model GM (1, 1) according to the regulation of the private vehicle ownership. Detailed comparisons among the MLR, ANNs and GM (1, 1) models were made and results show that they have different advantages respectively. Our results shows that all the three types of computation models can be used for the prediction of the private vehicle ownership in Chinese area.

목차

Abstract
 1. Introduction
 2. Artificial Neural Network
 3. Grey Model GM (1, 1)
 4. Results and Discussion
  4.1. Development of the MLR Model
  4.2. Development of ANN Models
  4.3. Development of Grey Model GM (1, 1)
 5. Conclusion
 References

키워드

저자

• Jinbing Song [ Department of Automobile Engineering, Changzhou College of Mechatronic Technology, Changzhou, 213164, Jiangsu, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605