摘要
本文以环境监测监控系统硬件结构为基础,从信息处理的角度对其进行抽象和简化,进而建立起环境系统集成信息处理模型。利用粗糙集和神经网络融合的方法建立起空气质量评价智能信息处理系统模型。最后提出了遗传蚁群融合算法对BP神经网络进行优化,仿真试验表明,本文所建立的系统无论从物理意义和评价结果的直观性和可比性来说,都要优于现有的一些评价方法。
On the base of hardware structure of the monitoring and supervisory system in environment, put abstract and simplification to object in a information process angle, then the environment system overall information process model was established. The paper uses the fusion of rough set and neural network to establish a intelligent information process system model for air quality evaluation. In the end, the GAAA algorithm which optimized the BP neural network were put up. The simulate experiment result indicates that the established system better than other evaluation methods from the physics significance and evaluation result intuitionistic and comparable.
出处
《微计算机信息》
北大核心
2008年第13期101-103,共3页
Control & Automation
基金
陕西省自然基金(2006E210)
关键词
数据挖掘
数据融合
信息处理
粗糙集
Data mining
Data fusion
Information process
Rough set
