摘要
针对气体传感器的温湿度效应 ,提出了两种基于人工智能的温湿度补偿方法 ,即模糊修正因子法和人工神经网络法 ,并阐述了其基本工作原理。实验结果表明 ,这两种方法软、硬件实现简单 ,补偿精度较高 。
Two methods for temperature and humidity compensation in gas measurement based on artificial intelligent are proposed.One applies fuzzy inference and another artificial neural network.Their principles are introduced and experiment results show that these two methods are feasible.
出处
《测控技术》
CSCD
2003年第11期25-27,共3页
Measurement & Control Technology
关键词
人工智能
温湿度补偿
模糊推理
神经网络
atificial intelligent
temperature and humidity compensation
fuzzy inference
neural network
