北京大学学报（自然科学版）2006，Vol.42Issue(4)：496-502,7.
基于人工神经网络的城市拓展区可持续发展指数序列研究
Application of Artificial Neural Ntwork in Urban Fringe's Sustainable Development Index Series
摘要
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.关键词
PSR理论/可持续发展指数/人工神经网络/惠济区Key words
PSR theory/sustainable development index/artificial neural network/Huiji District分类
资源环境引用本文复制引用
郁亚娟,王真,郭怀成,黄凯,王树通,刘永..基于人工神经网络的城市拓展区可持续发展指数序列研究[J].北京大学学报（自然科学版）,2006,42(4):496-502,7.基金项目
国家重点基础研究发展计划(973)专项经费资助项目(2005CB724205) （973）
