摘要
结合模糊数学和BP神经网络构造了一个用于洪泽湖水质评价的模型。模型选取十二个评价指标,构建指标的隶属度函数进行模糊化处理。分别选取2004年和2005年的指标数据作为训练和测试样本,实验证明,该方法能准确有效地进行水质的评价。
A model of the water quality evaluation of the HongZe HU is set up.The model uses fuzzy mathematics and BP neural network.Twelve judgement indexes are choosed.The subordinate degree functions of quantitative indexes are structured.The indexes of 2004 and 2005 are selected to be training and testing samples.The experiment shows that the method could carry out the water quality evaluation accurately and efficiently.
出处
《微计算机信息》
2010年第28期229-230,232,共3页
Control & Automation
关键词
水质评价
模糊数学
BP神经网络
water quality evaluation
fuzzy mathematics
BP neural network
