摘要
为了建立相应的水质预测和评价管理决策支持系统,在了解和分析一些常规水质模型的基础上,提出了用BP神经网络进行智能建模的方法,并结合东江自动监测站的实测水质数据进行了初步的探索,建立了东江水质预测的BP神经网络模型,并给出了仿真结果。结果表明,BP神经网络模型可以很好地对水质进行预测,解决系统中复杂的非线性关系,具有预测精度高,简便可靠等特点。
For building up a system of water quality prediction and decision support, on the basis of studying and analyzing some water quality model, a method which use BP-NN is proposed. According to the actual data from the automation monitor station of Dong Jiang, we build the BP-NN model of water quality evaluation, and give simulation results. The result indicates that the BP neural network can primely evaluated the water quality, and resolve complicated non-linear in the system, which is convenient, reliable and precise.
出处
《控制工程》
CSCD
2004年第S1期9-10,19,共3页
Control Engineering of China
基金
广州市科技计划项目(010060)
关键词
水质预测
BP算法
神经网络
water quality evaluation
BP algorithm
neural network
