| 基于MATLAB下BP网络在河流污染物浓度预报中的应用 |
| |
| 引用本文： | 周建康,熊亚南,朱春龙.基于MATLAB下BP网络在河流污染物浓度预报中的应用[J].水利水电技术,2004,35(9):24-26. |
| |
| 作者姓名： | 周建康 熊亚南 朱春龙 |
| |
| 作者单位： | 1. 河海大学,水资源环境学院,江苏,南京,210098;扬州大学,水利科学与工程学院,江苏,扬州,225009
2. 扬州大学,水利科学与工程学院,江苏,扬州,225009 |
| |
| 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。
|
| 关 键 词： | MATLAB BP神经网络 河流污染物浓度 预报 |
| 文章编号： | 1000-0860(2004)09-0024-03 |
| 修稿时间： | 2004年4月6日 |
Application of BP neural network based on MATLAB in prediction of river water pollution density |
| |
| ZHOU Jian-kang.Application of BP neural network based on MATLAB in prediction of river water pollution density[J].Water Resources and Hydropower Engineering,2004,35(9):24-26. |
| |
| Authors: | ZHOU Jian-kang |
| |
| Affiliation: | ZHOU Jian-kang~ |
| |
| 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. |
| |
| Keywords: | MATLAB BP neural network water pollution density prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
