基于模糊神经网络的烟度检测系统的研究

Study of Smoke Meter Based on Fuzzy Neural Network

本文对全流消光式烟度检测系统中的不确定因素进行校正,归结为模糊规则,并用模糊神经网络来提取这种规则,实现了烟度检测系统的误差校正。仿真分析表明,模糊神经网络应用于烟度的检测是可行的。

The indeterminacy of the full-flow light extinction smoke meter is resulted to the fuzzy rules related with the detecting signals. The fuzzy neural network is applied to get the rules in order to realize the error correction of the smoke meter. The simulating results show that the fuzzy neural network is an effective technology for the smoke meter.