| 空气中PM_(10)浓度的BP神经网络预报研究 |
| |
| 引用本文： | 曹兰.空气中PM_(10)浓度的BP神经网络预报研究[J].污染防治技术,2010,23(1):18-21. |
| |
| 作者姓名： | 曹兰 |
| |
| 作者单位： | 上海交通大学机械与动力工程学院,上海200030 |
| |
| 摘 要： | 建立了某市PM10浓度预报的分段BP神经网络模型，经验证，所建立的BP预报模型，预测精度比较高，PM10日平均浓度误差大多在-0．010～0．010mg／m^3范围内，相对误差在-20％～20％，表明BP神经网络对PM10的浓度预报是一种有效的工具。
|
| 关 键 词： | BP神经网络 空气污染 PM10浓度预报 |
BP Neural Network Simulation and PM_(10) Concentration Prediction in Air |
| |
| CAO Lan.BP Neural Network Simulation and PM_(10) Concentration Prediction in Air[J].Pollution Control Technology,2010,23(1):18-21. |
| |
| Authors: | CAO Lan |
| |
| Institution: | CAO Lan(School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200030,China) |
| |
| Abstract: | BP neural network has been widely used in the forecast and prediction of air pollution due to the development of its theorectical basis and computer technology.This paper has used a BP neural network to predict PM10 concentration in air.It is proved that the accuracy of the model is high and the error as well as relative error ranges are from-0.010 mg/m3 to 0.010 mg/m3 and-20% to 20% respectively.BP neural network is an effective method to forecast the PM10 concentration. |
| |
| Keywords: | BP nerual network air pollution prediction PM10 concentration prediction |
| 本文献已被 CNKI 维普 等数据库收录！ |
