Dynamic Assessment of Sustainable Development Based on Grey Relational Analysis and Artificial Neural Network
Sustainable development is a hot issue in ecological economy. By analyzing the grey relational grade matrix, the degree of influence for each factor on sustainable development can be found. The results showed that main factors of influencing sustainable development were total population, gross domestic product, total investment in fixed assets, per capita annual living expenditure of urban households, per capita consumption expenditure of rural households andproportion of tertiary industry in industrial composition by grey relational analysis(GRA). A three-layer artificial neural network (ANN) models were developed to predict sustainable development. The 6-4-3 ANN model with standardization transformation was the best model. GRA and ANN are useful tools to evaluate sustainable development and to provide policy proposals for decision-making for local government.
Qi Wang Xiaodan Wang Yingdan Mao
College of Life and Environmental Sciences,Wenzhou University, Wenzhou Zhejiang 325027 China School of Chemistry and Chemical Engineering,Southwest University, Chongqing, China School of Resources and Environmental Science, East China Normal University, Shanghai, China
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
212-217
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）