A fire detection algorithm based on the data fusion technology was presented.
提出了一种基于数据融合技术的火灾探测算法。
It is to module fire detection algorithm, and to layer the information fusion.
将火灾探测算法模块化，信息融合层次化。
Fire detection technology is the combination of detector technology and fire detection algorithm.
火灾探测技术是传感技术和火灾探测算法的结合产物。
Main contents and conclusion of this article: it divides fire detection algorithm into three layers: data layer, feature layer, decision-making layer.
论文的主要内容与结论如下：将火灾探测算法分为三个层次：信息层、特征层、决策层。
Through the partial decision-making, achieve the distributed processing of the fire detection algorithm; enhance the overall performance of the system.
通过局部决策器，实现火灾探测系统的分布式处理，提高系统的整体性能。
A fire signal detection model based on fuzzy neural-network and its learning algorithm are presented in this paper.
本文提出了一种基于模糊神经网络的火灾信号探测数学模型，得出了它的一种学习算法，并进行了计算机仿真。
The advanced intelligent algorithm is also designed for controller to process the data received from analog detector, through which the veracity of fire detection is greatly improved.
为控制器设计了先进的智能型算法，用来对模拟量探测器传过的信息进行处理，大大提高了火灾报警的准确性。
This thesis focuses on the tunnel environment, video-based intelligent fire detection fire alarm system design process of issue records, also made of the core algorithm improvements.
本论文主要对隧道环境下基于视频的火灾火焰探测智能报警系统的课题设计过程进行了记录，还对核心算法作了探讨性改进。
First of all, the research of recognition algorithm for fire detection is introduced. A mathematical model based on ANN and GA algorithm, and the technology scheme of a whole set of algorithms.
首先，论文讨论了火灾识别算法的研究状况，提出了基于遗传算法的人工神经网络的火灾识别模型，并设计了整套算法的技术实现方案。
First of all, the research of recognition algorithm for fire detection is introduced. A mathematical model based on ANN and GA algorithm, and the technology scheme of a whole set of algorithms.
首先，论文讨论了火灾识别算法的研究状况，提出了基于遗传算法的人工神经网络的火灾识别模型，并设计了整套算法的技术实现方案。
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