基于传感器阵列与前馈神经网络的气体辨识系统

摘要

A gas sensor array is combined with a forward feed neural networkto form a gas identification system,and experiments are done to analyze the influence of the signal preprocessing algorithms and the forward feed neural network's structure and parameters on the system's performance. The research result is valuable to engineering application.%将气体传感器阵列与前馈神经网络模式识别技术相结合形成气体辨识系统，通过实验比较了不同的传感器信号预处理方法、前馈神经网络的结构和参数对气体辨识系统性能的影响。研究结果具有一定的工程应用价值。