| 污水中重金属离子浓度软测量的BP算法 |
| |
| 引用本文： | 蔡环宇,冯裕钊,马平平.污水中重金属离子浓度软测量的BP算法[J].后勤工程学院学报,2011,27(3):53-57,86. |
| |
| 作者姓名： | 蔡环宇 冯裕钊 马平平 |
| |
| 作者单位： | 后勤工程学院营房管理与环境工程系,重庆,401311 |
| |
| 基金项目： | 国家水体污染控制与治理科技重大专项资助项目，重庆市自然科学基金 |
| |
| 摘 要： | 在重金属离子检测仪器及其工作原理研究的基础上,对污水中重金属离子浓度测量方法进行了分析研究,分析了采用软测量技术的可行性和必要性,针对水质测量具有非线性、大时变和多滞后的特点,提出了基于BP神经网络的污水中重金属离子浓度软测量建模方法,建立了软测量模型,并通过仿真分析和实验验证了该方法的实用性.
|
| 关 键 词： | BP神经网络 软测量 重金属离子 浓度检测 污水 |
Soft-sensing Determination of Heavy Metal Ions in Wastewater Using BP Neural Network |
| |
| CAI Huan-yu,FENG Yu-zhao,MA Ping-ping.Soft-sensing Determination of Heavy Metal Ions in Wastewater Using BP Neural Network[J].Journal of Logistical Engineering University,2011,27(3):53-57,86. |
| |
| Authors: | CAI Huan-yu FENG Yu-zhao MA Ping-ping |
| |
| Institution: | (Dept.of Barracks’Management & Environmental Engineering,LEU,Chongqing 401311,China) |
| |
| Abstract: | Based on the research of the instruments of heavy metal ions dectection and their principles,the means of heavy metal ions detection are researched,and the feasibility and necessity of using the soft measuring technique is analyzed.According to the nonlinear,time-variable and seriously lag characters of water detection processes,a soft measuring model of heavy metal ion detection is proposed based on BP artificial neural networks.The results of simulation test and experimental research show that this model is applicable to detect the concentration of heavy metal ion in wastewater. |
| |
| Keywords: | BP neural network soft-sensing heavy metal ion concentration detection wastewater |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
