Applying Artificial Neural Network Model in Assessing East Dongting Lake Wetlands Ecosystem Carrying Capacity
Because of the superiority in approximation, classification and study speed, the radial basis function artificial neural network (RBF-ANN) model is receiving more and more scholars attention. Its framework, design, simulation and output of graphs are presented. With the aid of MATLAB tools, integrative assessment of regional ecosystem carrying capacity using above model is introduced. As an applied example, the assessment index system including 14 indexes and the standard including 3 levels are constructed for the East Dongting Lake wetland to assess its ecosystem carrying capacity. The result indicates that the ecosystem carrying capacity in studied area belongs to middle-load, which conforms to the local actual situation. In addition, RBF-ANN model is proved to be simple, effective to classify, with strong applicability and broadly-applicable prospect.
Y. Z. Shi D. J. Xin
School of Water Conservancy, Changsha University of Technology & Science, Changsha 4100 76, China Computer Science College, Central South University of Forestry and Technology, Changsha 410004, Chin
国际会议
长沙
英文
179-182
2008-10-20（万方平台首次上网日期，不代表论文的发表时间）