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基于MATLAB下BP网络在河流污染物浓度预报中的应用
Application of BP neural network based on MATLAB in prediction of river water pollution density
【摘要】 文中简介了MATLAB语言和BP神经网络,并运用于河流污染物浓度的预报中,取得了良好的效果,说明运用BP神经网络进行河流污染物浓度预报是可行的.人工神经网络用于解决河流污染物传播扩散的复杂非线性问题,具有其独特优势.运用MATLAB神经网络工具箱,免去了繁琐的编程工作,值得进一步的研究和实践.
【Abstract】 The method of BP neural network and MATLAB are introduced. It is applied to the prediction of river water pollution density with satisfactory results. The reliability of the model was demonstrated by means of an example. There are particular advantages for artificial neural network in solving complex nonlinear problems of water pollution diffusion in the river. MATLAB can excuse from multifarious program. It is valuable that the method is farther developed.
【关键词】 MATLAB;
BP神经网络;
河流污染物浓度;
预报;
【Key words】 MATLAB; BP neural network; water pollution density; prediction;
【Key words】 MATLAB; BP neural network; water pollution density; prediction;
- 【文献出处】 水利水电技术 ,Water Resources and Hydropower Engineering , 编辑部邮箱 ,2004年09期
- 【分类号】X52
- 【被引频次】11
- 【下载频次】400