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基于RBF神经网络的瓦斯检测技术的研究 被引量:1

Research of Methane Detection Technology Based on RBF Artificial Neural Network
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摘要 着重介绍红外探测系统的总体设计思想、微弱信号的检测技术及检测系统的软、硬件设计,对如何应用单片机ATMEGA16芯片作微控制器,来完成数据的采集、处理判断、数据的显示和传输等一系列功能作了重点的阐述和分析。针对目前大多数设备不具备数据传输这一特性,重点对RS485总线方式作了阐述,并采用了RBF神经网络的方法对温度进行了补偿,提高了测量精度,达到了理想的效果。 This paper focuses on the overall thought of the designof infrared detection system,weak signal detection techniques and design software and hardware detection system,and how to apply the ATMEGA16 chip for micro controller unit,to complete the data collection,processing to determine,data display and transmission focus of a series of functions were described and analyzed.Because of most equipment is not available for data transfer,the paper also meet the underground mine,elaborated upon,RS485 bus mode and the RBF neural network method was used to carry on the temperature compensation,improved the accuracy of measurement,which has achieved the ideal effect.
出处 《长春理工大学学报(自然科学版)》 2010年第2期156-158,共3页 Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词 瓦斯 神经网络 数据传输 爆炸 methane Artificial Neural Network data transmission explosion
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