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。
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,.
介绍了人工嗅觉模拟技术的原理，提出了一种利用神经网络和模糊系统理论设计智能建筑火灾报警系统的方法。
This paper introduces the principle of the olfactory analogy, and advances a method for designing the fire alarming system of intelligent building by using neural network and fuzzy system theory.
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