摘要
本文提出了一种基于BP神经网络的火焰识别系统,其对火焰的各种状态进行了识别,提高了早期发现火焰的能力。实验结果表明,该方法在火焰自动识别中是一种十分有效的方法。
In this paper, a kind of method for flame detection system based on BP Neural Network is proposed. It reeognizes the every state of the flame and improves the ability to detect flame in every stage. The experimental result shows that it is a very efficient method in automatic flame detection.
出处
《西昌学院学报(自然科学版)》
2009年第4期54-56,共3页
Journal of Xichang University(Natural Science Edition)