径向基函数网络模型在区域生态承载能力综合评价中的应用

Application of Radial Basis Function Neural Network in Integrative Assessment of Eco-carrying Capacity

径向基函数神经网络以其逼近能力、分类能力和学习速度等方面的优势,正受到越来越多学者的关注。本文尝试用MATLAB径向基函数网络工具进行区域生态承载能力的综合评价,给出了MATLAB6.5环境下径向基函数神经网络的结构、设计、仿真和图形结果的输出方法。作为实例,对盐城滨海湿地区域的生态承载能力进行了综合评价。结果表明,MATLAB径向基函数网络评价方法简单有效,既具有较强的分类功能,又具有较好的排序功能,评价结果可靠、适用性强,具有广阔的应用前景。

Due to advantages of its approaching capacity, classifying capacity and studying speed, radial basis tunction neural network is gathering scholar＇s ever-increasing attention, Integrative assessment of regional eco-carrying capacity is expressed by using MATLAB tools with radial basis function neural network, The framework, design, simulation and figure output of radial basis function neural network of MATLAB are presented. As an example, eco-carrying capacity is assessed in Yancheng coastal wetland region by MATLAB radial basis function method. The result shows that the method has the features of simplicity, credibility and good classifying capacity, and it has a wide prospect of application.