Application of RBF Neural Network in Assessment of Estuarine Wetland Health

摘要：

Wetland health assessment is one of important aspects in wetland protection. An assessment indictor system for estuarine wetland health is established in this paper, based on the Pressure - state - response framwork, which can denote the relationships between the pressure and the wetland healthy state. Then the framework, design of radial basis function neural network are presented. At last a radial basis function neural network is employed to evaluate the states of three main wetlands in Yangtze River Estuary by using MATLAB tools. The assessment results proves that this method is feasible, simple, stable and has a wide prospect of application.

关键词： estuarine wetland health RBF neural network PSR model indicator system assessment

作者: LEI Zhiyi ZHOU Shenbei

作者单位: School of Traffic and Ocean Hohai University Nanjing, P.R. China School of Business Hohai University Nanjing, P.R. China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 774-777

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）