| 基于BP网络的SO_2排放预测模型研究 |
| |
| 引用本文： | 王之仓,王青海,卢文.基于BP网络的SO_2排放预测模型研究[J].微计算机信息,2011(9). |
| |
| 作者姓名： | 王之仓 王青海 卢文 |
| |
| 作者单位： | 青海师范大学; |
| |
| 基金项目： | 基金申请人:王青海;项目名称:神经网络新理论的企业污染减排统计监测评价系统;基金颁布发部门:青海省科技厅项目(2008-Z-620) |
| |
| 摘 要： | 多数大型企业具有高能源消耗、高资源消耗的特点,这些企业的发展引发了经济发展和环境保护之间的冲突,本文通过BP网络技术发现了大型企业的能源消耗数据与SO2排放之间的非线性关系,为大型企业节能减排指标实现提供了理论依据。
|
| 关 键 词： | BP网络 节能减排 非线性 |
Research on Predictive Model of SO_2 Emissions on BP Neural Network |
| |
| WANG Zhi-cang WANG Qing-hai LU Wen.Research on Predictive Model of SO_2 Emissions on BP Neural Network[J].Control & Automation,2011(9). |
| |
| Authors: | WANG Zhi-cang WANG Qing-hai LU Wen |
| |
| Affiliation: | WANG Zhi-cang WANG Qing-hai LU Wen |
| |
| Abstract: | Most large enterprises have the characteristics of high energy consumption and high resource consumption.The development of the enterprises causes the collision between the economic development and environmental protection.The proposed tries to find the non-linear relation between energy consumption data and SO2 emissions by BP Neural Network,and it provides theory basis for the enterprises' energy saving and emission reduction. |
| |
| Keywords: | BP neural network energy saving and emission reduction Non-linear |
| 本文献已被 CNKI 等数据库收录！ |
