本文采用模型实验和计算机数值计算相结合的方法，对客运大楼、中庭火灾烟气流动及其影响因素进行了研究。
This thesis adopts the method which combines model experiment with computer numerical calculations and studies the smoke flow in terminal halls and atria and the affecting factors.
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。
A fire signal detection model based on fuzzy neural-network and its learning algorithm are presented in this paper.
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