Application of artificial neural network in urban fringe's sustainable development index series

Yajuan Yu; Zhen Wang; Huaicheng Guo; Kai Huang; Shutong Wang; Yong Liu

Application of artificial neural network in urban fringe's sustainable development index series

Yajuan Yu^*, Zhen Wang, Huaicheng Guo, Kai Huang, Shutong Wang, Yong Liu

^*此作品的通讯作者

Peking University

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (I_SD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the I_SD series. Then a case study of Huiji District, Zhengzhou City was adopted for I_SD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the I_SD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.

源语言	英语
页（从-至）	496-502
页数	7
期刊	Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis
卷	42
期	4
出版状态	已出版 - 7月 2006
已对外发布	是

联合国可持续发展目标

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title = "Application of artificial neural network in urban fringe's sustainable development index series",

abstract = "Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (ISD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the ISD series. Then a case study of Huiji District, Zhengzhou City was adopted for ISD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the ISD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.",

keywords = "Artificial neural network, Huiji District, PSR theory, Sustainable development index",

author = "Yajuan Yu and Zhen Wang and Huaicheng Guo and Kai Huang and Shutong Wang and Yong Liu",

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TY - JOUR

T1 - Application of artificial neural network in urban fringe's sustainable development index series

AU - Yu, Yajuan

AU - Wang, Zhen

AU - Guo, Huaicheng

AU - Huang, Kai

AU - Wang, Shutong

AU - Liu, Yong

PY - 2006/7

Y1 - 2006/7

N2 - Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (ISD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the ISD series. Then a case study of Huiji District, Zhengzhou City was adopted for ISD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the ISD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.

AB - Deriving from the Pressure-State-Response (PSR) theory, a framework of sustainable development (SD) indicators describing urban fringe's urbanization process was brought forward. Sustainable Development Index (ISD) series for multi-years were used to measure the regional capability of sustainability. The socio-economic-environmental grand system was considered as a grey system and artificial neural network (ANN) was applied to calculate the ISD series. Then a case study of Huiji District, Zhengzhou City was adopted for ISD assessment from the year 1987 to 2004, and uncertainty analysis was also construed. The results showed that both the framework and the ISD with ANN were suitable in reflecting its SD levels. The method is recommendable for analogous problems.

KW - Artificial neural network

KW - Huiji District

KW - PSR theory

KW - Sustainable development index

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JF - Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis

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ER -

Application of artificial neural network in urban fringe's sustainable development index series

摘要

联合国可持续发展目标

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