The application of heat release rate of fuel in fire network model;
主要研究可燃物表面积和厚度对估测释热速率的影响。
In this paper, we simulated smoke spread of multi layer and multi room building fire using network model and introduced the basic theory, methods and some key technologies of network simulations.
应用网络模型对多层多室建筑火灾烟气运动过程进行数值模拟，介绍了网络模型的基本方法、网络模型的关键技术处理。
This paper addressed the model of fire detector based on RBF neural network.
本文探讨运用RBF神经网络建立火灾探测器模型。
In the existing fire alarm system, create a BP neural network simulation model which is based on Wuhan Zhongshan Road Tunnel project, access to actual operation data as the training sample data,.
在现有的火灾报警系统上，以武汉中山路隧道项目为支撑，获取实际运行中的数据作为训练样本数据，建立一个BP神经网络模拟模型。
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。
Finally, the model of fire detector algorithms is established by using RBF neural network net in which flame characters are taken as inputs and by which is used to classify and recognize fire image.
最后运用RBF神经网络建立火灾识别模型，将提取出的火焰特征作为输入量，对火灾图像进行分类识别。
Research on Forecasting the Properties of Fire Smoke Flow in Multiroom Building with Field-Network Model;
本论文是在掌握应用建筑物火灾烟气流动性状预测软件的基础上进行研究的。
Research on Forecasting the Properties of Fire Smoke Flow in Multiroom Building with Field-Network Model;
本论文是在掌握应用建筑物火灾烟气流动性状预测软件的基础上进行研究的。
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