| 基于模糊BP神经网络的水质评价 |
| |
| 引用本文： | 苏彩红,向娜,李理想. 基于模糊BP神经网络的水质评价[J]. 佛山科学技术学院学报(自然科学版), 2011, 29(5): 15-19 |
| |
| 作者姓名： | 苏彩红 向娜 李理想 |
| |
| 作者单位： | 1. 佛山科学技术学院自动化系,广东佛山,528000
2. 华南理工大学自动化学院,广东广州,510641 |
| |
| 基金项目： | 佛山市科技发展专项基金资助项目(FZ2009033) |
| |
| 摘 要： | 在BP网络模型基础上构建了隶属度BP网络模型,针对模型特点,建立了水质评价标准指标矩阵,并采用扩展方法构建了网络训练样本,将所建立的模型应用于佛山某污水处理厂的出水口水质评价,应用模糊隶属度方法实现水质级别评价,可以简明地表示水质接近于某类标准水质的程度。研究表明,本算法使评价的结果更具体准确、更符合评价水体水质情况,...
|
| 关 键 词： | 神经网络 隶属度 水质评价 |
Water quality evaluation based on fuzzy BP neural network |
| |
| SU Cai-hong,XIANG Na,LI Li-xiang. Water quality evaluation based on fuzzy BP neural network[J]. Journal of Foshan University(Natural Science Edition), 2011, 29(5): 15-19 |
| |
| Authors: | SU Cai-hong XIANG Na LI Li-xiang |
| |
| Affiliation: | SU Cai-hong1,XIANG Na2,LI Li-xiang1(1.Department of Automation Engineering,Foshan University,Foshan 528000,China,2.College of Automation Science and Engineering,South China University of Technology,Guangzhou 510641,China) |
| |
| Abstract: | In this paper,based on the BP Neural network the degree of membership BP Neural network model was constructed.Aiming at the model characteristics,the criteria matrix of water quality evaluation is established,and the network training samples are built by using extending method.The water quality of the outlet of a sewage water treatment plant in Foshan is evaluated.The Fuzzy Membership degree method is used in the water quality evaluation,which can concisely express the water quality are close to the certain... |
| |
| Keywords: | NN degree of membership water quality evaluation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
