会议专题

Urban Ecosystem Early-Warning Based on Artificial Immune

Urbanization impels social advancement and breaks the balance of human society and environment simultaneously. The sustainable development of urban ecosystem is threatened. In this paper, Urban Ecosystem Early-Warning Based on Artificial Immune is studied.The idea of natural immune system is used for reference and immune mechanism of urban ecosystem is analyzed.The advanced model of urban ecosystem early-warning based on artificial immune is developed. Nanjing urban ecosystem as a case is studied for its sustainable development. The Early-Warning Indexes System is established and the results of Early-Warning show that the model is effective for monitoring and forecasting the sustainable development of urban ecosystem. It makes dynamic monitoring and forecasting on sustainable development of urban ecosystem instead of static evaluation.

Artificial Immune Urban Ecosystem Early-Warning Indexes System Sustainable Development

Huimin Wang Junfei Chen Mingfeng Wu

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University Business school, Hohai University Nanjing, Jingsu 210098, China

国际会议

2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

杭州

英文

508-512

2006-10-12(万方平台首次上网日期,不代表论文的发表时间)