摘要
为提高评价模型的精度,用评价标准表确定RBF网络的输入、输出,并给出了大气环境质量综合评价的MATLAB环境下的径向基函数(RBF)神经网络的结构、仿真函数和输出方法.实例分析表明,MATLAB环境下的RBF网络方法,不仅能确定各评价对象所属的级别、进行不同评价对象之间大气环境质量优劣的比较,而且精度较高、操作简便、实用性强.
For improvement of the precision of the atmospheric environmental quality comprehensive evaluation model, a Radial Basis Function (RBF) network method was introduced with the input and output of the network determined by the assessment standard. Meanwhile, the structure, simulating function and figure output of the RBF neural network were given based on the MATLAB radial basis function network. Practices show that, with high precision and applicability, the RBF method is convenient in operation, and it is proved to be a good method for classification and assessment of various items of atmospheric environmental quality.
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第1期29-31,共3页
Journal of Hohai University(Natural Sciences)
基金
国家重点基础研究发展规划项目(2003CB415200)
江苏省"333工程"资助计划项目
关键词
大气环境质量
综合评价
RBF网络
atmospheric environmental quality
comprehensive assessment
radial basis function network
