摘要
综合考虑影响大气环境质量的有毒气体、温湿度以及其它相关状态参量 ,采用多信息融合技术解决了各影响因子间的冗余性。在此基础上 ,构造了智能模糊神经网络检测系统 ,应用于检测大气质量。
Under comprehensive consideration of atmosphere quality from its poison gases, temperature, humidity and some correlated state parameters, the redundancy of influence factors is solved by using the fusion technology of multi information. The measurement system of an intelligent fuzzy neural network is configurated so as to be used to monitor atmosphere quality. The experimental result shows it is effective.
出处
《工业仪表与自动化装置》
2002年第1期42-43,9,共3页
Industrial Instrumentation & Automation
