摘要
介绍目前运用较多的3种水质综合评价方法,即主成分分析评价法、模糊模式识别评价法、BP人工神经网络评价法的结构原理和算法。根据建立的不同水质综合评价模型,采用MATLAB语言编写相应的评价程序进行实例评价,试图找出3种方法在水质综合评价中的优缺点。
The structure principle and algorithm of three water quality comprehensive evaluation methods （principal component analysis, fuzzy model recognition and BP neural network） widely used were introduced. Based on these theories, comprehensive water quality evaluation models were established and used to evaluate the water quality. The aim was to find out the advantages and disadvantages of these methods in the water quality evaluation.
出处
《安徽农业科学》
CAS
北大核心
2009年第31期15394-15396,共3页
Journal of Anhui Agricultural Sciences
关键词
主成分分析
模糊综合评价法
BP人工神经网络法
水质
综合评价
Principal component analysis
Fuzzy comprehensive assessment
BP neural network
Water quality
Comprehensive evaluation
